🇦🇺 PhD Position, UNSW, Australia
☑️ computer science, industrial/mechanical engineering, or a related engineering discipline
👩🏻🏫 Dr. Shiva Abdoli:
I am seeking to hire highly motivated and qualified candidates to undertake a Ph.D. and research associate role in the field of Industry 4.0 for the development of the digital twin of manufacturing systems. The successful candidates will work in collaboration with leading researchers and industry partners to advance the understanding and application of industry 4.0 technologies, specifically digital twin and machine learning techniques to enhance the efficiency, reliability, and sustainability of manufacturing systems.
Key Responsibilities:
· Conduct a comprehensive literature review to establish the current state-of-the-art in digital twin technology, Industry 4.0, and machine learning.
· Collaborate with industrial partners to gather data and domain knowledge necessary for the creation of digital twins.
· Develop and implement machine learning algorithms for data analysis within the digital twin framework.
· Utilize sensor data, historical records, and other relevant sources to train and validate the machine learning models.
· Integrate the machine learning models into the digital twin platform to enable real-time monitoring, analysis, and predictive capabilities.
· Evaluate the performance of the developed digital twin system in terms of accuracy, efficiency, and applicability to real-world manufacturing scenarios.
· Publish research findings in reputable conferences and journals in the field of manufacturing, Industry 4.0, and system design.
Qualifications:
· A master's degree in a relevant field, such as computer science, industrial/mechanical engineering, or a related engineering discipline.
· Strong background and interest in machine learning, data analytics, and Industry 4.0 technologies.
· Excellent analytical and problem-solving skills.
· Good communication skills, both written and verbal.
· Ability to work collaboratively in interdisciplinary research teams and with industry partners.
Benefits:
The successful candidates will have the opportunity to work in a dynamic research environment, collaborating with renowned researchers and industry experts. The candidates will gain valuable experience in cutting-edge technologies related to Industry 4.0 and machine learning. Additionally, they will receive a competitive stipend and access to state-of-the-art research facilities at the University of New South Wales.
Starting date:
Research associate: As soon as possible
Ph.D. candidate: T1-2024
Application Process:
Interested candidates should submit their application, including a CV, statement of research interests, and academic trannoscripts, to s.abdoli@unsw.edu.au. Shortlisted candidates will be invited for an interview.
Shortlisted candidates will be invited for an interview.
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☑️ computer science, industrial/mechanical engineering, or a related engineering discipline
👩🏻🏫 Dr. Shiva Abdoli:
I am seeking to hire highly motivated and qualified candidates to undertake a Ph.D. and research associate role in the field of Industry 4.0 for the development of the digital twin of manufacturing systems. The successful candidates will work in collaboration with leading researchers and industry partners to advance the understanding and application of industry 4.0 technologies, specifically digital twin and machine learning techniques to enhance the efficiency, reliability, and sustainability of manufacturing systems.
Key Responsibilities:
· Conduct a comprehensive literature review to establish the current state-of-the-art in digital twin technology, Industry 4.0, and machine learning.
· Collaborate with industrial partners to gather data and domain knowledge necessary for the creation of digital twins.
· Develop and implement machine learning algorithms for data analysis within the digital twin framework.
· Utilize sensor data, historical records, and other relevant sources to train and validate the machine learning models.
· Integrate the machine learning models into the digital twin platform to enable real-time monitoring, analysis, and predictive capabilities.
· Evaluate the performance of the developed digital twin system in terms of accuracy, efficiency, and applicability to real-world manufacturing scenarios.
· Publish research findings in reputable conferences and journals in the field of manufacturing, Industry 4.0, and system design.
Qualifications:
· A master's degree in a relevant field, such as computer science, industrial/mechanical engineering, or a related engineering discipline.
· Strong background and interest in machine learning, data analytics, and Industry 4.0 technologies.
· Excellent analytical and problem-solving skills.
· Good communication skills, both written and verbal.
· Ability to work collaboratively in interdisciplinary research teams and with industry partners.
Benefits:
The successful candidates will have the opportunity to work in a dynamic research environment, collaborating with renowned researchers and industry experts. The candidates will gain valuable experience in cutting-edge technologies related to Industry 4.0 and machine learning. Additionally, they will receive a competitive stipend and access to state-of-the-art research facilities at the University of New South Wales.
Starting date:
Research associate: As soon as possible
Ph.D. candidate: T1-2024
Application Process:
Interested candidates should submit their application, including a CV, statement of research interests, and academic trannoscripts, to s.abdoli@unsw.edu.au. Shortlisted candidates will be invited for an interview.
Shortlisted candidates will be invited for an interview.
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PhD position - Model reduction for structural reliability.pdf
112.7 KB
🇩🇪 PhD Position, TUM, Germany
☑️ Applied Mathematics or Civil, Mechanical, Aerospace, or Electrical engineering, or another relevant field in "Model reduction for structural reliability analysis"
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☑️ Applied Mathematics or Civil, Mechanical, Aerospace, or Electrical engineering, or another relevant field in "Model reduction for structural reliability analysis"
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🇨🇦 PhD Position, University of Quebec at Trois-Rivières, Canada
☑️ Machine learning and network optimization
👨🏻🏫 Dr. Miloud Bagaa:
Dear all,
I have the pleasure of informing you that I am looking for several Ph.D. positions in applied machine learning and network optimization in the following fields:
Network slicing and orchestration in the 6G system.
Microservices monitoring, observability, management, and orchestration across federated PaaS (e.g., Kubernetes).
Network softwarization, including time-sensitive networking (TSN) and software-defined networking (SDN), for interconnecting different IaaSs (e.g., OpenStack).
Each Ph.D. scholarship is fully funded for a period of three years. Interested applicants are invited to send the following documents, in a single PDF file, to: miloud.bagaa@uqtr.ca indicating the Ph.D. subject in the message noscript:
- Detailed CV
- Bachelor's degree and Master's degrees trannoscripts
- List of publications, if any
- Motivation letter
- A letter of recommendation is a plus
The positions remain open until they are filled.
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☑️ Machine learning and network optimization
👨🏻🏫 Dr. Miloud Bagaa:
Dear all,
I have the pleasure of informing you that I am looking for several Ph.D. positions in applied machine learning and network optimization in the following fields:
Network slicing and orchestration in the 6G system.
Microservices monitoring, observability, management, and orchestration across federated PaaS (e.g., Kubernetes).
Network softwarization, including time-sensitive networking (TSN) and software-defined networking (SDN), for interconnecting different IaaSs (e.g., OpenStack).
Each Ph.D. scholarship is fully funded for a period of three years. Interested applicants are invited to send the following documents, in a single PDF file, to: miloud.bagaa@uqtr.ca indicating the Ph.D. subject in the message noscript:
- Detailed CV
- Bachelor's degree and Master's degrees trannoscripts
- List of publications, if any
- Motivation letter
- A letter of recommendation is a plus
The positions remain open until they are filled.
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PhD Projects - Global Ecology Lab at University of Sydney.pdf
122.4 KB
🇦🇺 PhD Position, University of Sydney, Australia
☑️ Urban rewilding
🏛 آذراپلای: مرجع تحصیل در خارج
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☑️ Urban rewilding
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Research Associate - Wastewater Surveillance.pdf
84.2 KB
🇨🇦 Research Position, Toronto Metropolitan University, Canada
☑️ Wastewater Surveillance Health Impact Evaluation
👨🏻🏫 Dr. Tor Oiamo:
We are looking for a fulltime researcher to help evaluate facility-based wastewater surveillance in Toronto, with additional opportunities for research and teaching. Contract will start as soon as filled to March 15, 2024. Please inquire or share this exciting opportunity!
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☑️ Wastewater Surveillance Health Impact Evaluation
👨🏻🏫 Dr. Tor Oiamo:
We are looking for a fulltime researcher to help evaluate facility-based wastewater surveillance in Toronto, with additional opportunities for research and teaching. Contract will start as soon as filled to March 15, 2024. Please inquire or share this exciting opportunity!
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PhD position Binghamton University_20230817.pdf
75.7 KB
پیام یکی از اعضای کانال:
سلام. استاد من دو تا پوزیشن فول فاند داره برای رشته مهندسی مکانیک در زمینه شبیه سازی عددی. اگر علاقه مند بودید لطفا در کانالتون قرار بدید🙏
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سلام. استاد من دو تا پوزیشن فول فاند داره برای رشته مهندسی مکانیک در زمینه شبیه سازی عددی. اگر علاقه مند بودید لطفا در کانالتون قرار بدید🙏
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Recruitment Denoscription.pdf
142.3 KB
🇺🇸 PhD Position, LSU, US
☑️ Nutrition and Food Science
👨🏻🏫 Dr. James Wise:
I am looking to recruit a graduate student for the spring 2024 semester.
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☑️ Nutrition and Food Science
👨🏻🏫 Dr. James Wise:
I am looking to recruit a graduate student for the spring 2024 semester.
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🇨🇦 PhD Position, University of Laval, Canada
☑️ Chemical engineering, Chemistry
👨🏻🏫 Dr. Abolfazl Alizadeh Sahraei:
WE ARE HIRING!
🌟 Join Our Group as a Ph.D. Researcher! 🌟
We are thrilled to announce an exciting opportunity for a highly motivated and talented Ph.D. researcher to join an ambitious project on computational R&D of advanced sorbents for direct air capture (DAC) at the Department of Chemical Engineering at Université Laval under the direct supervision of Prof. Faïçal Larachi. Two teams of well-known Canadian experts are our partners in this project, parallelly leading the laboratory- and pilot-scale experiments and LCA/TEA studies.
As a Ph.D. researcher on our team, you will be at the forefront of cutting-edge research that expects to solve complex challenges and form a roadmap to lighten the path for our partners. Your roles and responsibilities dedicatedly integrate with computational chemistry and machine learning techniques.
📚 Qualifications:
· A Master's degree in different Engineering disciplines, chemistry, or other majors with proof of competency.
· Excellent knowledge of computational chemistry techniques, especially molecular dynamics (MD) and Monte Carlo (MC) algorithms.
· Experience in machine learning algorithms, especially supervised learning for regression and classification, is an important asset.
· Strong programming skills.
· Adequate fluency in verbal and written communication in English.
· Interactive team player.
· A track record of academic achievements, such as publications or awards, is a plus.
📢 How to Apply:
We made it easy! Please submit your application, including your CV and an optional short cover letter outlining your research interests and motivations, to my Email at abolfazl.alizadeh-sahraei.1@ulaval.ca.
We aim to recruit the Ph.D. student in winter (January 2024); therefore, the initial application deadline has been set to October 15, 2023.
I would appreciate it if you could distribute this announcement within your network to help us increase its visibility by competent candidates.
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☑️ Chemical engineering, Chemistry
👨🏻🏫 Dr. Abolfazl Alizadeh Sahraei:
WE ARE HIRING!
🌟 Join Our Group as a Ph.D. Researcher! 🌟
We are thrilled to announce an exciting opportunity for a highly motivated and talented Ph.D. researcher to join an ambitious project on computational R&D of advanced sorbents for direct air capture (DAC) at the Department of Chemical Engineering at Université Laval under the direct supervision of Prof. Faïçal Larachi. Two teams of well-known Canadian experts are our partners in this project, parallelly leading the laboratory- and pilot-scale experiments and LCA/TEA studies.
As a Ph.D. researcher on our team, you will be at the forefront of cutting-edge research that expects to solve complex challenges and form a roadmap to lighten the path for our partners. Your roles and responsibilities dedicatedly integrate with computational chemistry and machine learning techniques.
📚 Qualifications:
· A Master's degree in different Engineering disciplines, chemistry, or other majors with proof of competency.
· Excellent knowledge of computational chemistry techniques, especially molecular dynamics (MD) and Monte Carlo (MC) algorithms.
· Experience in machine learning algorithms, especially supervised learning for regression and classification, is an important asset.
· Strong programming skills.
· Adequate fluency in verbal and written communication in English.
· Interactive team player.
· A track record of academic achievements, such as publications or awards, is a plus.
📢 How to Apply:
We made it easy! Please submit your application, including your CV and an optional short cover letter outlining your research interests and motivations, to my Email at abolfazl.alizadeh-sahraei.1@ulaval.ca.
We aim to recruit the Ph.D. student in winter (January 2024); therefore, the initial application deadline has been set to October 15, 2023.
I would appreciate it if you could distribute this announcement within your network to help us increase its visibility by competent candidates.
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JobOffer.pdf
149.6 KB
🇫🇷 Postdoc Position, University of Orleans, France
☑️ flow and transport in
porous media, physico-chemistry of interfaces, colloidal science, mathematical upscaling, Digital Rock
Physics, microfluidics, and microtromography imaging
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☑️ flow and transport in
porous media, physico-chemistry of interfaces, colloidal science, mathematical upscaling, Digital Rock
Physics, microfluidics, and microtromography imaging
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✅ روز پزشک مبارک 💐
پوزیشن استادی در آمریکا برای پزشکان عزیز:
🇺🇸 Faculty Position, New York University School of Medicine, US
☑️ cancer biology, genome integrity, regulation of gene expression, and cell signaling
👨🏻🏫 Dr. Michele Pagano:
We are hiring in the Department of Biochemistry and Molecular Pharmacology at the New York University Grossman School of Medicine
We invite applications for tenure-track positions at the Assistant and Associate Professor levels. We seek applicants with M.D., M.D.-Ph.D., or Ph.D. degrees and an exceptional record of achievement to join our interdisciplinary and interactive faculty
Candidates must have rigorous, interdisciplinary and innovative research programs that synergize with our existing faculty research programs in cancer biology, genome integrity, regulation of gene expression, and cell signaling
Candidates for appointments above the rank of Assistant Professor must have current extramural funding.
Physician scientists that are board-eligible or board-certified are encouraged to apply
New faculty members will be supported with generous start-up packages, new laboratory space in midtown Manhattan, and access to a wide range of state-of-the-art core facilities providing services in proteomics, genomics, mouse genetics, Cryo-EM, cell imaging, flow cytometry, bioinformatics, and pathology
Applications will be reviewed on a rolling basis until the search is closed on November 1, 2023. https://lnkd.in/evTc4d24.
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پوزیشن استادی در آمریکا برای پزشکان عزیز:
🇺🇸 Faculty Position, New York University School of Medicine, US
☑️ cancer biology, genome integrity, regulation of gene expression, and cell signaling
👨🏻🏫 Dr. Michele Pagano:
We are hiring in the Department of Biochemistry and Molecular Pharmacology at the New York University Grossman School of Medicine
We invite applications for tenure-track positions at the Assistant and Associate Professor levels. We seek applicants with M.D., M.D.-Ph.D., or Ph.D. degrees and an exceptional record of achievement to join our interdisciplinary and interactive faculty
Candidates must have rigorous, interdisciplinary and innovative research programs that synergize with our existing faculty research programs in cancer biology, genome integrity, regulation of gene expression, and cell signaling
Candidates for appointments above the rank of Assistant Professor must have current extramural funding.
Physician scientists that are board-eligible or board-certified are encouraged to apply
New faculty members will be supported with generous start-up packages, new laboratory space in midtown Manhattan, and access to a wide range of state-of-the-art core facilities providing services in proteomics, genomics, mouse genetics, Cryo-EM, cell imaging, flow cytometry, bioinformatics, and pathology
Applications will be reviewed on a rolling basis until the search is closed on November 1, 2023. https://lnkd.in/evTc4d24.
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🇺🇸 Postdoc Position, John Hopkins University, USA
Membrane transporters
Mammalian cell physiology
Organoids
Ca2+ signaling
pH signaling
👩🏻🏫 Dr. Rajini Rao:
We're hiring! The Rao lab at Johns Hopkins Medicine is looking for one or more postdoctoral fellows w expertise and interest in membrane transporters, mammalian cell physiology, organoids, Ca2+ and pH signaling and more! Apply to be part of our team.
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Membrane transporters
Mammalian cell physiology
Organoids
Ca2+ signaling
pH signaling
👩🏻🏫 Dr. Rajini Rao:
We're hiring! The Rao lab at Johns Hopkins Medicine is looking for one or more postdoctoral fellows w expertise and interest in membrane transporters, mammalian cell physiology, organoids, Ca2+ and pH signaling and more! Apply to be part of our team.
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🇺🇸 Multiple Positions, Boston University, USA
Neuronal Cell Biology
Metabolism
Biology
Neurobiology
Cell Physiology
👩🏻🏫 Dr. Lynne Chantranupong:
I am thrilled to join Boston University as an Assistant Professor in January 2024!! Looking forward to pursuing exciting questions in neuronal cell biology and metabolism! Find out more here: https://sites.google.com/view/chantranlab We are recruiting curious and motivated trainees to join our team!
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Neuronal Cell Biology
Metabolism
Biology
Neurobiology
Cell Physiology
👩🏻🏫 Dr. Lynne Chantranupong:
I am thrilled to join Boston University as an Assistant Professor in January 2024!! Looking forward to pursuing exciting questions in neuronal cell biology and metabolism! Find out more here: https://sites.google.com/view/chantranlab We are recruiting curious and motivated trainees to join our team!
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🇺🇸 PhD Position, University of North Texas, USA
Mechanical Engineering
Materials Science
Additive Manufacturing
Metamaterials
Robotics
Machine Learning
👩🏻🏫 Dr. Xinyi Xiao:
I am recruiting two Ph.D. students in Spring/Fall 2024 in the Mechanical Engineering Department at the University of North Texas.
The research areas are related to metamaterials/4D printing, functional graded material, hybrid/robotic additive manufacturing, AM Realtime monitoring and control. If you are interested and have backgrounds in FEA, design for additive, process planning, and machine learning, please send your details (CV, publications, language test, trannoscripts) to me (Xinyi.Xiao@unt.edu).
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Mechanical Engineering
Materials Science
Additive Manufacturing
Metamaterials
Robotics
Machine Learning
👩🏻🏫 Dr. Xinyi Xiao:
I am recruiting two Ph.D. students in Spring/Fall 2024 in the Mechanical Engineering Department at the University of North Texas.
The research areas are related to metamaterials/4D printing, functional graded material, hybrid/robotic additive manufacturing, AM Realtime monitoring and control. If you are interested and have backgrounds in FEA, design for additive, process planning, and machine learning, please send your details (CV, publications, language test, trannoscripts) to me (Xinyi.Xiao@unt.edu).
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🇺🇸 PhD Position, Stanford University, USA
☑️ Biology
👩🏻🏫 Dr. Molly Schumer:
We are now accepting applicants for this year's Stanford Biology Preview Program! We encourage students from all backgrounds to apply, including those historically underrepresented in biology, broadly defined. Apply here or DM me with questions:
https://docs.google.com/forms/d/e/1FAIpQLSfDr66yYD_unOEeLXZO5jlCjYuPiGjexYdc071aDWVESNfyRw/viewform
https://schumerlab.com/
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☑️ Biology
👩🏻🏫 Dr. Molly Schumer:
We are now accepting applicants for this year's Stanford Biology Preview Program! We encourage students from all backgrounds to apply, including those historically underrepresented in biology, broadly defined. Apply here or DM me with questions:
https://docs.google.com/forms/d/e/1FAIpQLSfDr66yYD_unOEeLXZO5jlCjYuPiGjexYdc071aDWVESNfyRw/viewform
https://schumerlab.com/
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🇺🇸 Application fee waiver, Northwestern Oklahoma State University, USA
https://www.nwosu.edu/apply-for-admission
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https://www.nwosu.edu/apply-for-admission
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🇨🇦 PhD Position, École de Technologie Supérieure, Canada
- Wireless Communications
- Machine Learning
- Reinforcement Learning
- Multi-Task Learning
- Next Generation Mobile Networks
- Wireless Networks
- Communication Systems
- Signal Processing
- Telecommunications Engineering
- Network Platforms
- Artificial Intelligence
- Data Science
- Computer Science
- Electrical Engineering
- Networking
👨🏻🏫 Dr. Wael Jaafar:
Dear colleagues and students,
We have two (2) fully funded PhD positions available in my team (co-directed with Dr. Bassant S. and Dr. Rami Langar respectively) at École de Technologie Supérieure in Montreal, Canada. If you are motivated to pursue a PhD on the application of ML to next generation mobile networks and have a strong background in wireless communications, send your application (CV + cover letter + example of paper or report you wrote) to wael.jaafar@etsmtl.ca, rami.langar@etsmtl.ca, and bassant.selim@etsmtl.ca. Candidates must hold a Master degree in a related field. Knowledge/experience with machine learning, more specifically reinforcement learning and multi-task learning is a plus for project 1. Hands-on experience with network platforms and ML is a plus for project 2. Shortlisted candidates will be requested to provide at least two reference contacts’ information.
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- Wireless Communications
- Machine Learning
- Reinforcement Learning
- Multi-Task Learning
- Next Generation Mobile Networks
- Wireless Networks
- Communication Systems
- Signal Processing
- Telecommunications Engineering
- Network Platforms
- Artificial Intelligence
- Data Science
- Computer Science
- Electrical Engineering
- Networking
👨🏻🏫 Dr. Wael Jaafar:
Dear colleagues and students,
We have two (2) fully funded PhD positions available in my team (co-directed with Dr. Bassant S. and Dr. Rami Langar respectively) at École de Technologie Supérieure in Montreal, Canada. If you are motivated to pursue a PhD on the application of ML to next generation mobile networks and have a strong background in wireless communications, send your application (CV + cover letter + example of paper or report you wrote) to wael.jaafar@etsmtl.ca, rami.langar@etsmtl.ca, and bassant.selim@etsmtl.ca. Candidates must hold a Master degree in a related field. Knowledge/experience with machine learning, more specifically reinforcement learning and multi-task learning is a plus for project 1. Hands-on experience with network platforms and ML is a plus for project 2. Shortlisted candidates will be requested to provide at least two reference contacts’ information.
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🇨🇦 PhD Position, University of Ottawa, Canada
- Mycology
- Microbiology
- Ecology
- Environmental Science
- Genetics
- Genomics
- Molecular Biology
- Bioinformatics
- Population Genetics
- Metagenomics
👨🏻🏫 Dr. Nicolas Corradi:
Hi all!
We are still looking for a PhD student to join our lab!🥳
The position is fully funded.
If you are interested in making new breakthroughs in understanding the genetics of prominent plant symbionts, please apply below 😃
👉https://corradilab.weebly.com/opportunities.html
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- Mycology
- Microbiology
- Ecology
- Environmental Science
- Genetics
- Genomics
- Molecular Biology
- Bioinformatics
- Population Genetics
- Metagenomics
👨🏻🏫 Dr. Nicolas Corradi:
Hi all!
We are still looking for a PhD student to join our lab!🥳
The position is fully funded.
If you are interested in making new breakthroughs in understanding the genetics of prominent plant symbionts, please apply below 😃
👉https://corradilab.weebly.com/opportunities.html
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PhD GA Position.pdf
161.8 KB
🇺🇸 PhD Position, Clemson University, USA
☑️ Construction Science and Management
👨🏻🏫 Dr. Jong Han Yoon:
I am excited to start my new role as a tenure-track Assistant Professor in the Nieri Department of Construction, Development, and Planning at Clemson University! I'm recruiting a fully-funded Ph.D. student who can start in the Spring or Fall of 2024. Interested applicants can send an e-mail to me (jongy@clemson.edu). I've attached detailed information about the position.
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☑️ Construction Science and Management
👨🏻🏫 Dr. Jong Han Yoon:
I am excited to start my new role as a tenure-track Assistant Professor in the Nieri Department of Construction, Development, and Planning at Clemson University! I'm recruiting a fully-funded Ph.D. student who can start in the Spring or Fall of 2024. Interested applicants can send an e-mail to me (jongy@clemson.edu). I've attached detailed information about the position.
🏛 آذراپلای: مرجع تحصیل در خارج
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🇨🇦 PhD/MSc Positions, University of Alberta, Canada
☑️ Construction, Built Environment, Human Factors, AI, Psychophysiology, Biosignal Processing
👨🏻🏫 Dr. Lee Gaang:
I am hiring multiple fully funded M.Sc. and Ph.D. Students who will start from July/September 2024.
Please email me (gaang@ualberta.ca) by December 1, 2023. Please put a CV with a brief explanation of why you are a right fit for Attentive Hub.
🏛 آذراپلای: مرجع تحصیل در خارج
🌐 AzarApply.ir
🆔 @AzarApply
☑️ Construction, Built Environment, Human Factors, AI, Psychophysiology, Biosignal Processing
👨🏻🏫 Dr. Lee Gaang:
I am hiring multiple fully funded M.Sc. and Ph.D. Students who will start from July/September 2024.
Please email me (gaang@ualberta.ca) by December 1, 2023. Please put a CV with a brief explanation of why you are a right fit for Attentive Hub.
🏛 آذراپلای: مرجع تحصیل در خارج
🌐 AzarApply.ir
🆔 @AzarApply