GESIS – Leibniz-Institute for the Social Sciences is an internationally active research institute, funded by federal and state governments and member of the Leibniz Association.
For the next possible date our Department Knowledge Technologies for the Social Sciences (KTS), Team FAIR Data and Human Information Interaction located in Cologne, is looking for a
PhD Candidate Information Retrieval, Data Search & Findability
(Salary group 13 TV-L, working time 80% (temporary extensions possible),
limited to September 2026)
The department Knowledge Technologies for Social Sciences (KTS) conducts research at the intersection of information retrieval, knowledge graphs, human information interaction and machine learning as foundation for innovative web portals and platforms for the search and use of research data. KTS innovations are based on a state-of-the-art software stack and research-based innovations in the aforementioned fields.
In the context of the consortia BERD@NFDI and KonsortSWD of the National Research Data Infrastructure (NFDI) KTS develops innovative services with the goal to improve the search for and the findability of research data.
Your tasks will be:
Research in the areas of data search, web data discovery, web information retrieval and/or knowledge graphs, with respect to research data
Conceptual design, modeling and implementation of research-based services for the search for research data
Implementing strategies to improve data search and findability using appropriate web technologies
Engagement with partners in the NFDI, exchange with relevant communities (e.g. GO FAIR, RDA, EOSC)
Dissemination of project results through publications and workshops
Your profile:
Good university degree (Master or equivalent) in Computer Science, Data Science or comparable fields
Good expertise in the areas of data and information retrieval, knowledge graphs or Human Information Interaction
Experience in software development with Java, Elasticsearch, Web and DB technologies
Good oral and written communication skills in English, knowledge of German desirable
Our Benefits:
A fast growing and international working environment with a lot of creative scientific freedom and access to unique research data
Excellent career opportunities in research & teaching as well as in software development and data engineering
Close collaboration and exchange with excellent national and internation research labs in AI and data science
Flexible working hours and possibility of mobile working within Germany
Very good conditions for reconciling work and family life, e.g. subsidies for childcare for children who have not yet attained the age of compulsory schooling
Holistic company health management and discounted participation in the university's sports programme
Generous support for your pension provision as a direct insurance policy
Promotion of your skills through further training measures
More information and how to apply: https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/26338/PhD-Candidate-Information-Retrieval-Data-Search-Findability?lang=en-US
Kind regards,
Peter Mutschke
--
Deputy Head of department
Teamleader FAIR Data and Human Information Interaction
Dep. Knowledge Technologies for the Social Sciences
GESIS – Leibniz Institute for the Social Sciences
Unter Sachsenhausen 6-8
D-50667 Köln
Tel.: +49(0)221 / 47694 -500
Mail: peter.mutschke@gesis.org
www.gesis.org
#phd
For the next possible date our Department Knowledge Technologies for the Social Sciences (KTS), Team FAIR Data and Human Information Interaction located in Cologne, is looking for a
PhD Candidate Information Retrieval, Data Search & Findability
(Salary group 13 TV-L, working time 80% (temporary extensions possible),
limited to September 2026)
The department Knowledge Technologies for Social Sciences (KTS) conducts research at the intersection of information retrieval, knowledge graphs, human information interaction and machine learning as foundation for innovative web portals and platforms for the search and use of research data. KTS innovations are based on a state-of-the-art software stack and research-based innovations in the aforementioned fields.
In the context of the consortia BERD@NFDI and KonsortSWD of the National Research Data Infrastructure (NFDI) KTS develops innovative services with the goal to improve the search for and the findability of research data.
Your tasks will be:
Research in the areas of data search, web data discovery, web information retrieval and/or knowledge graphs, with respect to research data
Conceptual design, modeling and implementation of research-based services for the search for research data
Implementing strategies to improve data search and findability using appropriate web technologies
Engagement with partners in the NFDI, exchange with relevant communities (e.g. GO FAIR, RDA, EOSC)
Dissemination of project results through publications and workshops
Your profile:
Good university degree (Master or equivalent) in Computer Science, Data Science or comparable fields
Good expertise in the areas of data and information retrieval, knowledge graphs or Human Information Interaction
Experience in software development with Java, Elasticsearch, Web and DB technologies
Good oral and written communication skills in English, knowledge of German desirable
Our Benefits:
A fast growing and international working environment with a lot of creative scientific freedom and access to unique research data
Excellent career opportunities in research & teaching as well as in software development and data engineering
Close collaboration and exchange with excellent national and internation research labs in AI and data science
Flexible working hours and possibility of mobile working within Germany
Very good conditions for reconciling work and family life, e.g. subsidies for childcare for children who have not yet attained the age of compulsory schooling
Holistic company health management and discounted participation in the university's sports programme
Generous support for your pension provision as a direct insurance policy
Promotion of your skills through further training measures
More information and how to apply: https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/26338/PhD-Candidate-Information-Retrieval-Data-Search-Findability?lang=en-US
Kind regards,
Peter Mutschke
--
Deputy Head of department
Teamleader FAIR Data and Human Information Interaction
Dep. Knowledge Technologies for the Social Sciences
GESIS – Leibniz Institute for the Social Sciences
Unter Sachsenhausen 6-8
D-50667 Köln
Tel.: +49(0)221 / 47694 -500
Mail: peter.mutschke@gesis.org
www.gesis.org
#phd
www.hidden-professionals.de
PhD Candidate Information Retrieval, Data Search & Findability
GESIS – Leibniz-Institute for the Social Sciences is an internationally active research institute, funded by federal and state governments and member of the Leibniz Association.For the next possible date our Department Knowledge Technologies for the Social…
Deadline approaching. A gentle reminder....
Applications are invited for a full-time Post-doctoral Research Fellow
(PDRF) position in deep learning (Graph Neural Networks) for the early
detection of lung cancer funded by Cancer Research UK, with project
partners at the University of Liverpool.
The PDRF will work on an exciting, cross-disciplinary collaborative
project to develop advanced computational models to discover the
evolving latent structures representing relationships/patterns in
multimodal data linking to lung cancer.
The detailed application procedure can be found here (Deadline: 16
October 2022): https://jobs.edgehill.ac.uk/vacancy.aspx?ref=EHR0111-0922
Informal enquiries may be addressed to beheraa@edgehill.ac.uk
Best regards,
--------------------------
Dr Ardhendu Behera
Reader (Associate Professor) in Computer Vision & AI
Department of Computer Science
Edge Hill University, Ormskirk, Lancashire, L39 4QP
https://www.edgehill.ac.uk/departments/academic/computerscience/
https://research.edgehill.ac.uk/en/persons/ardhendu-behera/
T: +44 (0) 1695 65 7270
#postdoc
Applications are invited for a full-time Post-doctoral Research Fellow
(PDRF) position in deep learning (Graph Neural Networks) for the early
detection of lung cancer funded by Cancer Research UK, with project
partners at the University of Liverpool.
The PDRF will work on an exciting, cross-disciplinary collaborative
project to develop advanced computational models to discover the
evolving latent structures representing relationships/patterns in
multimodal data linking to lung cancer.
The detailed application procedure can be found here (Deadline: 16
October 2022): https://jobs.edgehill.ac.uk/vacancy.aspx?ref=EHR0111-0922
Informal enquiries may be addressed to beheraa@edgehill.ac.uk
Best regards,
--------------------------
Dr Ardhendu Behera
Reader (Associate Professor) in Computer Vision & AI
Department of Computer Science
Edge Hill University, Ormskirk, Lancashire, L39 4QP
https://www.edgehill.ac.uk/departments/academic/computerscience/
https://research.edgehill.ac.uk/en/persons/ardhendu-behera/
T: +44 (0) 1695 65 7270
#postdoc
Jobs at Edge Hill University
Job Vacancy at Edge Hill University: Lecturer/Senior Lecturer in Computer Science
About the RoleAs Lecturer or Senior Lecturer, you will be required to make a significant contribution to the delivery of our Computer Science & Engineering undergraduate and postgraduate programmes, as well as CPD courses. Applicants with...
Forwarded from Academic Skills - Dr Noroozi
پوزیشن دکتری در دانشگاه آیندهوون هلند در رابطه با تحلیل دادههای یادگیری برای حمایت از تندرستی دانشجویان
📌نیازمندی ها:
1️⃣ کارشناسی ارشد تعامل انسان و رایانه، روانشناسی شناختی، علوم تربیتی، یا یک رشته مرتبط
2️⃣ تجربه کار با دادهها (به عنوان مثال در R، Python)
3️⃣ مهارت بسیار عالی در زبان انگلیسی
🔆مزایا:
✅ قرارداد کاری 4 سال
✅ دریافت 8 درصد (ایام تعطیل) و 8.3 درصد (پاداش) حقوق سالانه در هر سال
⚠️ مدارک مورد نیاز:
🔸کاور لتر(Cover letter) که بیانگر انگیزه و صلاحیت های شما است.
🔸رزومه که بیانگر تجارب پژوهشی و آموزشی شماست.
🗓 مهلت ثبت درخواست:
تا قبل از 1 آبان ماه سال 1401
🌐 برای ثبت درخواست خود به این سایت مراجعه کنید.
📣کانال آموزش مهارت های دانشگاهی با مدیریت دکتر امید نوروزی (استاد دانشگاه واگنینگن هلند)
🌐لینک کانال:
https://news.1rj.ru/str/academicskills2020
#موقعیت_شغلی
📌نیازمندی ها:
1️⃣ کارشناسی ارشد تعامل انسان و رایانه، روانشناسی شناختی، علوم تربیتی، یا یک رشته مرتبط
2️⃣ تجربه کار با دادهها (به عنوان مثال در R، Python)
3️⃣ مهارت بسیار عالی در زبان انگلیسی
🔆مزایا:
✅ قرارداد کاری 4 سال
✅ دریافت 8 درصد (ایام تعطیل) و 8.3 درصد (پاداش) حقوق سالانه در هر سال
⚠️ مدارک مورد نیاز:
🔸کاور لتر(Cover letter) که بیانگر انگیزه و صلاحیت های شما است.
🔸رزومه که بیانگر تجارب پژوهشی و آموزشی شماست.
🗓 مهلت ثبت درخواست:
تا قبل از 1 آبان ماه سال 1401
🌐 برای ثبت درخواست خود به این سایت مراجعه کنید.
📣کانال آموزش مهارت های دانشگاهی با مدیریت دکتر امید نوروزی (استاد دانشگاه واگنینگن هلند)
🌐لینک کانال:
https://news.1rj.ru/str/academicskills2020
#موقعیت_شغلی
Forwarded from IPRIA 2023
W: http://ipria2023.ismvipconf.ir
Eitaa: http://eitaa.com/ipria2023
Telegram: https://news.1rj.ru/str/ipria2023
Eitaa: http://eitaa.com/ipria2023
Telegram: https://news.1rj.ru/str/ipria2023
👍1
Forwarded from CEIT Students | مهندسی کامپیوتر و فناوری اطلاعات
سلام به همه دوستان عزیز فخیمی هستم
یکی از کوفاندر های viraset در زمینه هوش مصنوعی و سلامت ، ورزش فعالیت میکنیم. امیدوارم که حالتون خوب باشه .
ما در تیم ویراسِت نیاز به یک هم مسیر از جنس پروداکت منجیر(ترجیحا خانم) داریم و از دوستان عزیز این جمع هر کسی تمایل به همکاری دارد و پیام را می بیند می خوام که اگه علاقه مند بودن به ایمیل
hr.virapergas@gmail.com
رزومه شون بفرستن و یا اگه راحت تر بودن با همین شماره من تماس بگیرن و یا روزمه شون تو واتس آپ بفرستن
viraset-ai.ir
ارادتمند فخیمی
0919 077 6275
🔴 @CEITStu
یکی از کوفاندر های viraset در زمینه هوش مصنوعی و سلامت ، ورزش فعالیت میکنیم. امیدوارم که حالتون خوب باشه .
ما در تیم ویراسِت نیاز به یک هم مسیر از جنس پروداکت منجیر(ترجیحا خانم) داریم و از دوستان عزیز این جمع هر کسی تمایل به همکاری دارد و پیام را می بیند می خوام که اگه علاقه مند بودن به ایمیل
hr.virapergas@gmail.com
رزومه شون بفرستن و یا اگه راحت تر بودن با همین شماره من تماس بگیرن و یا روزمه شون تو واتس آپ بفرستن
viraset-ai.ir
ارادتمند فخیمی
0919 077 6275
🔴 @CEITStu
👍2
Dear all,
I am hiring a PhD student in the project LESSEN on conversational agents. It is a 4-year, fully paid position. You can find the full vacancy text below. Please forward this to students with a relevant profile who might be interested to apply.
https://universiteitleiden.nl/en/vacancies/2022/kwartaal-3/22-659phd-candidate-domain-adaptation-for-conversational-agents
Best regards,
Suzan Verberne
#phd
I am hiring a PhD student in the project LESSEN on conversational agents. It is a 4-year, fully paid position. You can find the full vacancy text below. Please forward this to students with a relevant profile who might be interested to apply.
https://universiteitleiden.nl/en/vacancies/2022/kwartaal-3/22-659phd-candidate-domain-adaptation-for-conversational-agents
Best regards,
Suzan Verberne
#phd
Leiden University
PhD Candidate, Domain Adaptation for Conversational Agents
The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate, Domain Adaptation for Conversational Agents Vacancy number: 22-659 Key responsibilities This position is embedded in the soon-to-be-launched…
Post: Postdoctoral Research Associate in IR, NLP, ML and Information Extraction
Location: University of Glasgow, Scotland UK
Duration: 18 months (full time)
Job listing: https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=098788
Vacancy Ref: 098788
The University of Glasgow, Scotland UK, is seeking a postdoctoral researcher with expertise in natural language processing, information extraction and/or information retrieval, as well as the expertise to apply advanced machine learning techniques.
The successful candidate will be expected to make a leading contribution the EPSRC-funded project SIEPH: Safe Information Extraction from Patient Histories, working with Dr Graham McDonald, Dr Jake Lever and Professor Iadh Ounis as part of the Glasgow Information Retrieval group. The post holder will also work closely with colleagues from the NHS Safe Havens to access and work with medical data.
The project will develop ML/DL approaches for extracting useful information from doctors’ clinical notes while protecting sensitive patient information.
For more information and details about the application process, see https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=098788 (Vacancy Ref: 098788)
This post is full time with funding for 18 months in the first instance.
Informal enquiries can be addressed to Graham McDonald, Jake Lever, or Iadh Ounis.
#postdoc
Location: University of Glasgow, Scotland UK
Duration: 18 months (full time)
Job listing: https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=098788
Vacancy Ref: 098788
The University of Glasgow, Scotland UK, is seeking a postdoctoral researcher with expertise in natural language processing, information extraction and/or information retrieval, as well as the expertise to apply advanced machine learning techniques.
The successful candidate will be expected to make a leading contribution the EPSRC-funded project SIEPH: Safe Information Extraction from Patient Histories, working with Dr Graham McDonald, Dr Jake Lever and Professor Iadh Ounis as part of the Glasgow Information Retrieval group. The post holder will also work closely with colleagues from the NHS Safe Havens to access and work with medical data.
The project will develop ML/DL approaches for extracting useful information from doctors’ clinical notes while protecting sensitive patient information.
For more information and details about the application process, see https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=098788 (Vacancy Ref: 098788)
This post is full time with funding for 18 months in the first instance.
Informal enquiries can be addressed to Graham McDonald, Jake Lever, or Iadh Ounis.
#postdoc
با سلام و احترام
به استحضار می رساند
مسابقه علمی صنعتی کنفرانس بین المللی ICCKE سال 2022
چالش پردازش تصویر بینایی ماشین با 300 میلیون ریال جایزه برای تیم های برگزیده
اطلاعات بیشتر در گروه تلگرامی به ادرس: @ICCKE2022_Challenge
و بسایت کنفرانس: https://iccke2022.um.ac.ir/2022/Home/NewsContent?id=4016
#عمومی #مسابقه #رویداد
به استحضار می رساند
مسابقه علمی صنعتی کنفرانس بین المللی ICCKE سال 2022
چالش پردازش تصویر بینایی ماشین با 300 میلیون ریال جایزه برای تیم های برگزیده
اطلاعات بیشتر در گروه تلگرامی به ادرس: @ICCKE2022_Challenge
و بسایت کنفرانس: https://iccke2022.um.ac.ir/2022/Home/NewsContent?id=4016
#عمومی #مسابقه #رویداد
7 ways to avoid overfitting in #ML (v/@svpino
):
1️⃣ Train your model on more data
2️⃣ Augment your dataset
3️⃣ Make your model simpler
4️⃣ Stop the learning process
5️⃣ Standardize input data
6️⃣ Use Dropouts
7️⃣ L1 & L2 regularization
#درس #یادگیری_ماشین
):
1️⃣ Train your model on more data
2️⃣ Augment your dataset
3️⃣ Make your model simpler
4️⃣ Stop the learning process
5️⃣ Standardize input data
6️⃣ Use Dropouts
7️⃣ L1 & L2 regularization
#درس #یادگیری_ماشین
👍4
Dear all,
I am hiring a PhD student in the project LESSEN on conversational agents. It is a 4-year, fully paid position. You can find the full vacancy text below. Please forward this to students with a relevant profile who might be interested to apply.
https://universiteitleiden.nl/en/vacancies/2022/kwartaal-3/22-659phd-candidate-domain-adaptation-for-conversational-agents
Best regards,
Suzan Verberne
PhD Candidate, Domain Adaptation for Conversational Agents
Vacancy number: 22-659
Key responsibilities
This position is embedded in the soon-to-be-launched project “Low-Resource Chat-based Conversational Intelligence (LESSEN)”, which is funded by the Dutch Research Council (NWO). The project’s consortium brings together a diverse set of academic researchers and industrial stakeholders from across The Netherlands. Together, the project partners will develop, implement and evaluate state-of-the-art safe and transparent chat-based conversational AI agents based on state-of-the-art neural architectures (https://lessen-project.nl).
The objective of this PhD project (P5 in LESSEN) is to solve domain-specific challenges of developing conversational agents. Smaller retailers lack the amount of data needed to train conversational agents for their domain. Large retailers face the challenge of a large variety of user intents. In this project you will develop (i) transfer learning methods to allow knowledge transfer from high-resource to low-resource domains using limited training data; (ii) conversational agent technology adaptive to domain- and task-specific user requirements, learned from user interactions.
You will be embedded in the Text Mining and Retrieval group, supervised by Suzan Verberne (Leiden University) and co-supervised by Faegheh Hasibi (Radboud University).
Selection Criteria
A master’s degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field
Substantial knowledge of Natural Language Processing
Knowledge of deep learning architectures, specifically Transformer models
Good research skills
Good writing and presentation skills
Good programming skills
#phd
I am hiring a PhD student in the project LESSEN on conversational agents. It is a 4-year, fully paid position. You can find the full vacancy text below. Please forward this to students with a relevant profile who might be interested to apply.
https://universiteitleiden.nl/en/vacancies/2022/kwartaal-3/22-659phd-candidate-domain-adaptation-for-conversational-agents
Best regards,
Suzan Verberne
PhD Candidate, Domain Adaptation for Conversational Agents
Vacancy number: 22-659
Key responsibilities
This position is embedded in the soon-to-be-launched project “Low-Resource Chat-based Conversational Intelligence (LESSEN)”, which is funded by the Dutch Research Council (NWO). The project’s consortium brings together a diverse set of academic researchers and industrial stakeholders from across The Netherlands. Together, the project partners will develop, implement and evaluate state-of-the-art safe and transparent chat-based conversational AI agents based on state-of-the-art neural architectures (https://lessen-project.nl).
The objective of this PhD project (P5 in LESSEN) is to solve domain-specific challenges of developing conversational agents. Smaller retailers lack the amount of data needed to train conversational agents for their domain. Large retailers face the challenge of a large variety of user intents. In this project you will develop (i) transfer learning methods to allow knowledge transfer from high-resource to low-resource domains using limited training data; (ii) conversational agent technology adaptive to domain- and task-specific user requirements, learned from user interactions.
You will be embedded in the Text Mining and Retrieval group, supervised by Suzan Verberne (Leiden University) and co-supervised by Faegheh Hasibi (Radboud University).
Selection Criteria
A master’s degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field
Substantial knowledge of Natural Language Processing
Knowledge of deep learning architectures, specifically Transformer models
Good research skills
Good writing and presentation skills
Good programming skills
#phd
Leiden University
PhD Candidate, Domain Adaptation for Conversational Agents
The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate, Domain Adaptation for Conversational Agents Vacancy number: 22-659 Key responsibilities This position is embedded in the soon-to-be-launched…
👍1
I'm looking for a postdoctoral researcher to work with me as part of the Melbourne ARC Hub for Digital Bioprocess Development. This 3-year position will examine how relatively sparse high-quality data can be supplemented with lower quality data to enable ‘multi-fidelity’ optimisation for improved decision support for bioprocesses. Deadline 14 Nov, full details here:
https://jobs.unimelb.edu.au/caw/en/job/910398/postdoctoral-research-fellow-modelling-optimisation
--
Professor Uwe Aickelin | Head of School of Computing and Information Systems
Faculty of Engineering and Information Technology
Level 3, Melbourne Connect – 700 Swanston Street
The University of Melbourne, Victoria 3010 Australia
T: +61 3 8344 3635 E: uwe.aickelin@unimelb.edu.au
http://aickelin.com/ | http://linkedin.com/in/aickelin
#postdoc
https://jobs.unimelb.edu.au/caw/en/job/910398/postdoctoral-research-fellow-modelling-optimisation
--
Professor Uwe Aickelin | Head of School of Computing and Information Systems
Faculty of Engineering and Information Technology
Level 3, Melbourne Connect – 700 Swanston Street
The University of Melbourne, Victoria 3010 Australia
T: +61 3 8344 3635 E: uwe.aickelin@unimelb.edu.au
http://aickelin.com/ | http://linkedin.com/in/aickelin
#postdoc
About Us - Careers - The University of Melbourne
Current opportunities : The University of Melbourne
Careers at The University of Melbourne
شرکت نگاه بانک، (PL- SQL developer (Oracle developing را به همکاری دعوت میکند.🤝👬
.
.
شرح وظایف تخصصی:
بررسی و بهبود کارایی PL/SQL تولید شده توسط برنامه نویسان.
تست صحت و کارایی رویه ها و توابع ایجاد شده PL/SQL
پشتیبانی توسعه دهندگان SQL و PL/SQL
.
.
توانمندی های فنی- تخصصی موردنیاز:
تسلط به Oracle Forms/Report
تسلط به PL/SQL·
تسلط بر معماری پایگاه داده Oracle.
تسلط بر مفاهیم پایگاه داده اوراکل.
تسلط بر SQL و PL / SQL.
آشنا به سیستم عامل لینوکس.
آشنایی به اصول وقوانین بانکی، مزیت به حساب می آید
.
.
شایستگی های حرفه ای- رفتاری موردنیاز شغل:
رعایت اصول رفتار حرفه ای سازمانی تواناتی ارایه گزارش های کاری و فنی
توانایی در کار تیمی و تعامل با سایر واحدهای کاری مرتبط
سابقه کار در محیط های بانکی مزیت محسوب می شود.
در این سمت، تجربه کاری، روحیه همکاری و علاقه به پیشرفت مهمتر از تحصیلات یا مدارک شماست.
معافیت: دائم
.
.
شاخص های کلیدی از نظر کارفرما:
2 سال سابقه کار در گروه شغلی مشابه
زبان انگلیسی-بالاتر از متوسط.
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📥ارسال رزومه از طریق:
✅Email : Hr.negahbank@karafarinbank.ir
#عمومی #آگهی #استخدام
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شرح وظایف تخصصی:
بررسی و بهبود کارایی PL/SQL تولید شده توسط برنامه نویسان.
تست صحت و کارایی رویه ها و توابع ایجاد شده PL/SQL
پشتیبانی توسعه دهندگان SQL و PL/SQL
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توانمندی های فنی- تخصصی موردنیاز:
تسلط به Oracle Forms/Report
تسلط به PL/SQL·
تسلط بر معماری پایگاه داده Oracle.
تسلط بر مفاهیم پایگاه داده اوراکل.
تسلط بر SQL و PL / SQL.
آشنا به سیستم عامل لینوکس.
آشنایی به اصول وقوانین بانکی، مزیت به حساب می آید
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شایستگی های حرفه ای- رفتاری موردنیاز شغل:
رعایت اصول رفتار حرفه ای سازمانی تواناتی ارایه گزارش های کاری و فنی
توانایی در کار تیمی و تعامل با سایر واحدهای کاری مرتبط
سابقه کار در محیط های بانکی مزیت محسوب می شود.
در این سمت، تجربه کاری، روحیه همکاری و علاقه به پیشرفت مهمتر از تحصیلات یا مدارک شماست.
معافیت: دائم
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شاخص های کلیدی از نظر کارفرما:
2 سال سابقه کار در گروه شغلی مشابه
زبان انگلیسی-بالاتر از متوسط.
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📥ارسال رزومه از طریق:
✅Email : Hr.negahbank@karafarinbank.ir
#عمومی #آگهی #استخدام
The Institute for Natural Language Processing at the University of Stuttgart invites applications for a one year fully-funded position in the DFG-funded project "Computational Event Analysis based on Appraisal Theories for Emotion Analysis (CEAT)" with principle investigator Roman Klinger.
## Project and Position
We study how emotions are expressed in text and how we can enable computers to recognize them.
The position is available for one year, starting in February 2023 or soon thereafter (potentially to be extended). The salary is according to the German university pay scale (TV-L 13 100%, approx. 50k EUR per year before taxes depending on previous experience).
## Candidate's Profile
This position is open for predocs, PhD students (as an internship/exchange year) and postdocs, provided a fit of interest and skills can be found.
The candidate should have:
* Knowledge and previous experience in emotion analysis
* Theoretical and practical knowledge in machine/deep-learning
* Master’s degree in computational linguistics or computer science, or related fields
* Knowledge of natural language processing
## More Information and How to Apply
Please apply until 1st of December 2022 (position open until filled). You can find more information at
https://www.ims.uni-stuttgart.de/documents/aktuelles/news/job-ceat-2023.pdf
https://www.romanklinger.de/projects/job-ceat-2023.pdf
If you have questions, please contact Roman Klinger <roman.klinger@ims.uni-stuttgart.de>.
#postdoc #RA
## Project and Position
We study how emotions are expressed in text and how we can enable computers to recognize them.
The position is available for one year, starting in February 2023 or soon thereafter (potentially to be extended). The salary is according to the German university pay scale (TV-L 13 100%, approx. 50k EUR per year before taxes depending on previous experience).
## Candidate's Profile
This position is open for predocs, PhD students (as an internship/exchange year) and postdocs, provided a fit of interest and skills can be found.
The candidate should have:
* Knowledge and previous experience in emotion analysis
* Theoretical and practical knowledge in machine/deep-learning
* Master’s degree in computational linguistics or computer science, or related fields
* Knowledge of natural language processing
## More Information and How to Apply
Please apply until 1st of December 2022 (position open until filled). You can find more information at
https://www.ims.uni-stuttgart.de/documents/aktuelles/news/job-ceat-2023.pdf
https://www.romanklinger.de/projects/job-ceat-2023.pdf
If you have questions, please contact Roman Klinger <roman.klinger@ims.uni-stuttgart.de>.
#postdoc #RA
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Deadline: Monday 24 October 2022 (23:45 UK time)
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Post: Postdoctoral Research Associate in IR, NLP, ML and Information Extraction
Location: University of Glasgow, Scotland UK
Duration: 18 months (full time)
Job listing: https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=098788
Vacancy Ref: 098788
The University of Glasgow, Scotland UK, is seeking a postdoctoral researcher with expertise in natural language processing, information extraction and/or information retrieval, as well as the expertise to apply advanced machine learning techniques.
The successful candidate will be expected to make a leading contribution the EPSRC-funded project SIEPH: Safe Information Extraction from Patient Histories, working with Dr Graham McDonald, Dr Jake Lever and Professor Iadh Ounis as part of the Glasgow Information Retrieval group. The post holder will also work closely with colleagues from the NHS Safe Havens to access and work with medical data.
The project will develop ML/DL approaches for extracting useful information from doctors’ clinical notes while protecting sensitive patient information.
For more information and details about the application process, see https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=098788 (Vacancy Ref: 098788)
This post is full time with funding for 18 months in the first instance.
Informal enquiries can be addressed to Graham McDonald, Jake Lever, or Iadh Ounis.
#postdoc doc
Deadline: Monday 24 October 2022 (23:45 UK time)
******************************************
Post: Postdoctoral Research Associate in IR, NLP, ML and Information Extraction
Location: University of Glasgow, Scotland UK
Duration: 18 months (full time)
Job listing: https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=098788
Vacancy Ref: 098788
The University of Glasgow, Scotland UK, is seeking a postdoctoral researcher with expertise in natural language processing, information extraction and/or information retrieval, as well as the expertise to apply advanced machine learning techniques.
The successful candidate will be expected to make a leading contribution the EPSRC-funded project SIEPH: Safe Information Extraction from Patient Histories, working with Dr Graham McDonald, Dr Jake Lever and Professor Iadh Ounis as part of the Glasgow Information Retrieval group. The post holder will also work closely with colleagues from the NHS Safe Havens to access and work with medical data.
The project will develop ML/DL approaches for extracting useful information from doctors’ clinical notes while protecting sensitive patient information.
For more information and details about the application process, see https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=098788 (Vacancy Ref: 098788)
This post is full time with funding for 18 months in the first instance.
Informal enquiries can be addressed to Graham McDonald, Jake Lever, or Iadh Ounis.
#postdoc doc
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