#PhD position
Title: Robust, Explainable Deep Networks in Computer Vision.
> Denoscription: The Visual Inference Lab (led by Prof. Stefan Roth, Ph.D.) at the Department of Computer Science of TU Darmstadt is offering four positions starting 01.10.2020 as
Research Assistants (Ph.D. Students) (f/m/d)
in the ERC-funded project “Robust, Explainable Deep Networks in Computer Vision” (RED). The positions are initially limited to three years but can be extended by at most two more years.
In this ERC project, we aim to advance significantly deep networks in computer vision toward improved robustness and explainability. To this end, we will investigate (i) structured network architectures bridging deep networks with classical approaches to computer vision, (ii) probabilistic / Bayesian deep networks in computer vision, and (iii) interpretable hybrid generative/discriminative models for scene analysis, all with the goal of increasing robustness and gaining explainability. This is accompanied by (iv) research on how to assess robustness and aspects of explainability through appropriate datasets and metrics.
The RED project will be carried out jointly by a team of up to four doctoral researchers – distributed among the above research themes – as well as one PostDoc, and is directed by Prof. Stefan Roth, Ph.D.
The Visual Inference Lab carries out leading research in various areas of computer vision with an emphasis on using and developing machine learning/deep learning approaches and statistical methods. We develop models and algorithms, e.g., for semantic image analysis, motion estimation from videos, object recognition and tracking, as well as image restoration.
Our open and internationally oriented team has access to state-of-the-art GPU facilities, including nvidia DGX machines, enabling outstanding research.
Your profile
Outstanding Masters degree (or equivalent) at a leading university in computer science, (applied) mathematics, electrical engineering, physics, or a related discipline
Advanced knowledge of computer vision and/or machine learning is beneficial.
More important, however, are outstanding mathematical and analytical skills, as well as programming experienceHigh intrinsic motivation, reliability, creativity, as well as the ability to discuss, formulate, and present scientific results in EnglishSignificant potential for outstanding, independent research on challenging scientific problems as well as the ability for teamwork.
Opportunity for further qualification (doctoral dissertation) is given. The fulfillment of the duties likewise enables the scientific qualifications of the candidate.
The Technische Universität Darmstadt intends to increase the number of female employees and encourages female candidates to apply. In case of equal qualifications applicants with a degree of disability of at least 50 or equal will be given preference. Wages and salaries are according to the collective agreements on salary scales, which apply to the Technische Universität Darmstadt (TV-TU Darmstadt). Part-time employment is generally possible.
Your application should contain a cover letter, curriculum vitae, as well as diplomas and trannoscripts (Master, Bachelor, and high school). Your cover letter should discuss your motivation and qualifications for the position. Moreover, please name at least two references, who would be willing to supply letters of recommendation. Please send electronic applications (in the form of a single PDF), referencing the code no., to Prof. Stefan Roth, Ph.D. (email: info@visinf.tu-darmstadt.de)..
> TU Darmstadt, Germany.
💯Deadline: 31 Aug 2020
🌐 https://www.tu-darmstadt.de/universitaet/karriere_an_der_tu/stellenangebote/aktuelle_stellenangebote/stellenausschreibungen_detailansichten_1_374272.en.jsp
🆔 @PositionClub
Title: Robust, Explainable Deep Networks in Computer Vision.
> Denoscription: The Visual Inference Lab (led by Prof. Stefan Roth, Ph.D.) at the Department of Computer Science of TU Darmstadt is offering four positions starting 01.10.2020 as
Research Assistants (Ph.D. Students) (f/m/d)
in the ERC-funded project “Robust, Explainable Deep Networks in Computer Vision” (RED). The positions are initially limited to three years but can be extended by at most two more years.
In this ERC project, we aim to advance significantly deep networks in computer vision toward improved robustness and explainability. To this end, we will investigate (i) structured network architectures bridging deep networks with classical approaches to computer vision, (ii) probabilistic / Bayesian deep networks in computer vision, and (iii) interpretable hybrid generative/discriminative models for scene analysis, all with the goal of increasing robustness and gaining explainability. This is accompanied by (iv) research on how to assess robustness and aspects of explainability through appropriate datasets and metrics.
The RED project will be carried out jointly by a team of up to four doctoral researchers – distributed among the above research themes – as well as one PostDoc, and is directed by Prof. Stefan Roth, Ph.D.
The Visual Inference Lab carries out leading research in various areas of computer vision with an emphasis on using and developing machine learning/deep learning approaches and statistical methods. We develop models and algorithms, e.g., for semantic image analysis, motion estimation from videos, object recognition and tracking, as well as image restoration.
Our open and internationally oriented team has access to state-of-the-art GPU facilities, including nvidia DGX machines, enabling outstanding research.
Your profile
Outstanding Masters degree (or equivalent) at a leading university in computer science, (applied) mathematics, electrical engineering, physics, or a related discipline
Advanced knowledge of computer vision and/or machine learning is beneficial.
More important, however, are outstanding mathematical and analytical skills, as well as programming experienceHigh intrinsic motivation, reliability, creativity, as well as the ability to discuss, formulate, and present scientific results in EnglishSignificant potential for outstanding, independent research on challenging scientific problems as well as the ability for teamwork.
Opportunity for further qualification (doctoral dissertation) is given. The fulfillment of the duties likewise enables the scientific qualifications of the candidate.
The Technische Universität Darmstadt intends to increase the number of female employees and encourages female candidates to apply. In case of equal qualifications applicants with a degree of disability of at least 50 or equal will be given preference. Wages and salaries are according to the collective agreements on salary scales, which apply to the Technische Universität Darmstadt (TV-TU Darmstadt). Part-time employment is generally possible.
Your application should contain a cover letter, curriculum vitae, as well as diplomas and trannoscripts (Master, Bachelor, and high school). Your cover letter should discuss your motivation and qualifications for the position. Moreover, please name at least two references, who would be willing to supply letters of recommendation. Please send electronic applications (in the form of a single PDF), referencing the code no., to Prof. Stefan Roth, Ph.D. (email: info@visinf.tu-darmstadt.de)..
> TU Darmstadt, Germany.
💯Deadline: 31 Aug 2020
🌐 https://www.tu-darmstadt.de/universitaet/karriere_an_der_tu/stellenangebote/aktuelle_stellenangebote/stellenausschreibungen_detailansichten_1_374272.en.jsp
🆔 @PositionClub
#Postdoc and #RA positions
Title: Postdoctoral/RA Positions in Life-long Learning.
> Denoscription:
The candidate will focus on the development of new Bayesian Machine-Learning methods. The candidate will work on problems at the intersection of deep learning, Bayesian inference, optimization, and reinforcement learning.
The candidate is expected to carry out research and publish their findings in top machine-learning conferences. Postdoctoral candidates will additionally help in the management of the group, and supervision of internship students and technical staffs. The position is meant to further the careers of early-career researchers who wish to pursue a career in academia.
Qualifications
-The candidate already possesses a doctoral degree or is expecting to receive a doctoral degree in machine learning, computer science, statistical science or a related field.
-The candidate must have published their research in machine-learning conferences (NIPS, ICML, AIStats, UAI, ICLR, etc.).Be an expert in one or more of the following areas: Bayesian Machine Learning, Deep Learning, Optimization, Reinforcement Learning, Active learning, Life-long Learning, and Bayesian Optimization.
-Must be proactive, cooperative, flexible, and able to respond according to the circumstances.-Must also have good communication skills and be able to cooperate with the relevant personnel within/outside of the laboratory in order to fulfill his/her tasks.
Job Title and Available Positions
Opening for a Postdoctoral Researcher or Research Associate, 1 (one) position
Postdoctoral Researcher
Conducts the team’s/other research efforts under the mentoring and guidance of supervisors.
Research Associate
Carries out research projects under the guidance of supervisors.
In principle, a Postdoctoral Researcher will be hired on the basis that they have received their doctoral degree within the past 5 years.
Research Associates are expected to receive their doctoral degree within 3 years after being hired and, in principle, will be hired as a Postdoctoral Researcher once they receive their doctoral degree..
> RIKEN Institute, Tokyo Campus, Japan.
🌐 https://www.riken.jp/en/careers/researchers/20200826_1/index.html
🆔 @PositionClub
Title: Postdoctoral/RA Positions in Life-long Learning.
> Denoscription:
The candidate will focus on the development of new Bayesian Machine-Learning methods. The candidate will work on problems at the intersection of deep learning, Bayesian inference, optimization, and reinforcement learning.
The candidate is expected to carry out research and publish their findings in top machine-learning conferences. Postdoctoral candidates will additionally help in the management of the group, and supervision of internship students and technical staffs. The position is meant to further the careers of early-career researchers who wish to pursue a career in academia.
Qualifications
-The candidate already possesses a doctoral degree or is expecting to receive a doctoral degree in machine learning, computer science, statistical science or a related field.
-The candidate must have published their research in machine-learning conferences (NIPS, ICML, AIStats, UAI, ICLR, etc.).Be an expert in one or more of the following areas: Bayesian Machine Learning, Deep Learning, Optimization, Reinforcement Learning, Active learning, Life-long Learning, and Bayesian Optimization.
-Must be proactive, cooperative, flexible, and able to respond according to the circumstances.-Must also have good communication skills and be able to cooperate with the relevant personnel within/outside of the laboratory in order to fulfill his/her tasks.
Job Title and Available Positions
Opening for a Postdoctoral Researcher or Research Associate, 1 (one) position
Postdoctoral Researcher
Conducts the team’s/other research efforts under the mentoring and guidance of supervisors.
Research Associate
Carries out research projects under the guidance of supervisors.
In principle, a Postdoctoral Researcher will be hired on the basis that they have received their doctoral degree within the past 5 years.
Research Associates are expected to receive their doctoral degree within 3 years after being hired and, in principle, will be hired as a Postdoctoral Researcher once they receive their doctoral degree..
> RIKEN Institute, Tokyo Campus, Japan.
🌐 https://www.riken.jp/en/careers/researchers/20200826_1/index.html
🆔 @PositionClub
#Postdoc position
> Uo Toronto
>Canada
> Wheeler lab
🌐 https://microfluidics.utoronto.ca/people.php
🆔 @PositionClub
> Uo Toronto
>Canada
> Wheeler lab
🌐 https://microfluidics.utoronto.ca/people.php
🆔 @PositionClub
0.pdf
82.6 KB
#PhD Position
Topic: Power System Cyber-Physical Security Management
> Montefiore Institute
> Dept. Electrical Engineering & Computer Science
> University of Liege, Belgium
🙏 Thanks to "Amin"
🆔 @PositionClub
Topic: Power System Cyber-Physical Security Management
> Montefiore Institute
> Dept. Electrical Engineering & Computer Science
> University of Liege, Belgium
🙏 Thanks to "Amin"
🆔 @PositionClub
22 #PhD, #PostDoc, and #Research Positions
Area: Artificial Intelligence and Machine Learning
> Finnish Center for Artificial Intelligence
> Finland
💯 Deadline: October 5, 2020
🌐 https://fcai.fi/we-are-hiring
🆔 @PositionClub
Area: Artificial Intelligence and Machine Learning
> Finnish Center for Artificial Intelligence
> Finland
💯 Deadline: October 5, 2020
🌐 https://fcai.fi/we-are-hiring
🆔 @PositionClub
FCAI
Winter 2025 - Researcher positions in AI and machine learning — FCAI
#MSc & #PhD Positions
Fields:
1. Cancer and Cardiac biology
Mechanotransduction (Cell/Tissue/Organ-level Mechanobiology)
2. Nanotechnology-based Theranostics and Biosensors
> Lab of Cell Mechanotransduction and NanoBiosystems.
> Chonnam National University, South Korea.
🌐 http://biology.jnu.ac.kr/user/indexSub.action?codyMenuSeq=8478&siteId=biology&menuUIType=top&dum=dum&command=view&profSeq=798
🙏 Thanks to "Amir"
🆔 @PositionClub
Fields:
1. Cancer and Cardiac biology
Mechanotransduction (Cell/Tissue/Organ-level Mechanobiology)
2. Nanotechnology-based Theranostics and Biosensors
> Lab of Cell Mechanotransduction and NanoBiosystems.
> Chonnam National University, South Korea.
🌐 http://biology.jnu.ac.kr/user/indexSub.action?codyMenuSeq=8478&siteId=biology&menuUIType=top&dum=dum&command=view&profSeq=798
🙏 Thanks to "Amir"
🆔 @PositionClub
#PhD position
Title: Full UK PhD scholarships in operational research/ evolutionary computation/optimisation/simulation/computational intelligence/data analytics/IoT/transportation/logistics.
> Denoscription: we at the Operational Research (OR) group, Liverpool John Moores University (United Kingdom) may be able to offer a small number of PhD scholarships (full or tuition-fees-only depending on the quality of the candidate).
❗️❗️At the moment the scholarships are for UK/EU/settled students only (we hope we will have one for international students soon):
Deadline 17th September 2020. Results to be known in October 2020.
provide full tuition fees for three years and,
living expenses + running cost cover of over £16,500 each year (to be determined) for 3 years
students have to enrol in January/February 2021
Brexit will not have any impact on these scholarships
Regarding research topic, any area in OR/optimisation/simulation/data analytics/computational intelligence/IoT/ transportation/logistics would be acceptable. Please have a look at this link for some examples of our current/past projects on air quality and green transportation https://tinyurl.com/y67eddrw .
Interested candidates please contact Dr. Trung Thanh Nguyen with your full CV and trannoscripts. It is important that interested candidates contact me ASAP to ensure that we can prepare your applications in the best way to maximise your chance before the deadline of 17th September..
> Liverpool John Moores University, England.
💯Deadline: 17 Sep 2020
🌐 https://tinyurl.com/y67eddrw
🆔 @PositionClub
Title: Full UK PhD scholarships in operational research/ evolutionary computation/optimisation/simulation/computational intelligence/data analytics/IoT/transportation/logistics.
> Denoscription: we at the Operational Research (OR) group, Liverpool John Moores University (United Kingdom) may be able to offer a small number of PhD scholarships (full or tuition-fees-only depending on the quality of the candidate).
❗️❗️At the moment the scholarships are for UK/EU/settled students only (we hope we will have one for international students soon):
Deadline 17th September 2020. Results to be known in October 2020.
provide full tuition fees for three years and,
living expenses + running cost cover of over £16,500 each year (to be determined) for 3 years
students have to enrol in January/February 2021
Brexit will not have any impact on these scholarships
Regarding research topic, any area in OR/optimisation/simulation/data analytics/computational intelligence/IoT/ transportation/logistics would be acceptable. Please have a look at this link for some examples of our current/past projects on air quality and green transportation https://tinyurl.com/y67eddrw .
Interested candidates please contact Dr. Trung Thanh Nguyen with your full CV and trannoscripts. It is important that interested candidates contact me ASAP to ensure that we can prepare your applications in the best way to maximise your chance before the deadline of 17th September..
> Liverpool John Moores University, England.
💯Deadline: 17 Sep 2020
🌐 https://tinyurl.com/y67eddrw
🆔 @PositionClub
PhD student position in computational material mechanics
https://www.uu.se/en/about-uu/join-us/details/?positionId=350318
🆔 @positionclub
https://www.uu.se/en/about-uu/join-us/details/?positionId=350318
🆔 @positionclub
www.uu.se
PhD student position in computational material mechanics - Uppsala University, Sweden
PhD student position in computational material mechanics, Uppsala University, Department of Materials Science and Engineering, Uppsala University
Bioinformatician Human engineered tissue analysis.pdf
232.3 KB
Post-doctoral Bioinformatician for single cell trannoscriptomic analysis of stem cells
Lund University
🆔 @positionclub
Lund University
🆔 @positionclub
#Postdoc
Uconn University
Biosensing and wearable devices
https://www.linkedin.com/posts/ali-tamayol-54630335_we-have-an-immediate-opening-for-a-postdoc-activity-6699087236949921792-oCQO
Uconn University
Biosensing and wearable devices
https://www.linkedin.com/posts/ali-tamayol-54630335_we-have-an-immediate-opening-for-a-postdoc-activity-6699087236949921792-oCQO
Linkedin
Ali Tamayol on LinkedIn: We have an immediate opening for a postdoc with expertise in the area
We have an immediate opening for a postdoc with expertise in the area of biosensing and wearable devices. Only applicants who are currently in the USA ...
Postdoctoral position in bioprinting technologies and photosensible resins
https://euraxess.ec.europa.eu/jobs/532888
🆔@positionclub
https://euraxess.ec.europa.eu/jobs/532888
🆔@positionclub
EURAXESS
Postdoctoral position in bioprinting technologies and photosensible resins
CNR-NANOTEC (the National Research Council Institute of Nanotechnology, www.nanotec.cnr.it) is launching a new, long-term research programme to foster translation to the clinical practice of advances in Nanotechnology and Photonics by establishing a direct…
#PhD positions
Title: ELLIS PhD Program
> Denoscription: The ELLIS PhD Program opens call for applications. Application deadline: 1.12.2020
The European Laboratory for Learning and Intelligent Systems offers an interdisciplinary PhD program. The ELLIS PhD program is a key element of the ELLIS initiative and its goal is to foster and educate the best talent in machine learning related research areas by pairing outstanding students with leading academic and industrial researchers in Europe.
The program supports excellent PhDs across Europe by giving them access to leading research through boot camps, summer schools and workshops of the ELLIS programs. Every PhD student is supervised by one ELLIS fellow/scholar and one ELLIS member from a different country and conducts a 1 year exchange at the other location.
Research areas include (but are not limited to) the following ML driven reseach areas:
Machine Learning Algorithms
Machine Learning Theory
Optimization
Deep Learning
Interactive and Online Learning
Reinforcement Learning and Control
Computer Vision
Computer Graphics
Robotics
Human Computer Interaction
Natural Language Processing
Causality
Interpretability and Fairness
Robust and Trustworthy ML
Quantum and Physics based ML
Symbolic Machine Learning
Computational Neuroscience
Earth and Climate Sciences
Bioinformatics
Health
ELLIS seeks to increase diversity and the number of women in areas where they are underrepresented and we explicitly encourage women to apply. We are committed to employing more handicapped individuals and especially encourage them to apply.
Application website: apply.ellis.eu (portal will open on October 1st, 2020)
Application deadline: December 1st, 2020, 23:59 CEST.
💯Deadline: 01 Dec 2020
🌐 https://bit.ly/2R7GClG
🆔 @PositionClub
Title: ELLIS PhD Program
> Denoscription: The ELLIS PhD Program opens call for applications. Application deadline: 1.12.2020
The European Laboratory for Learning and Intelligent Systems offers an interdisciplinary PhD program. The ELLIS PhD program is a key element of the ELLIS initiative and its goal is to foster and educate the best talent in machine learning related research areas by pairing outstanding students with leading academic and industrial researchers in Europe.
The program supports excellent PhDs across Europe by giving them access to leading research through boot camps, summer schools and workshops of the ELLIS programs. Every PhD student is supervised by one ELLIS fellow/scholar and one ELLIS member from a different country and conducts a 1 year exchange at the other location.
Research areas include (but are not limited to) the following ML driven reseach areas:
Machine Learning Algorithms
Machine Learning Theory
Optimization
Deep Learning
Interactive and Online Learning
Reinforcement Learning and Control
Computer Vision
Computer Graphics
Robotics
Human Computer Interaction
Natural Language Processing
Causality
Interpretability and Fairness
Robust and Trustworthy ML
Quantum and Physics based ML
Symbolic Machine Learning
Computational Neuroscience
Earth and Climate Sciences
Bioinformatics
Health
ELLIS seeks to increase diversity and the number of women in areas where they are underrepresented and we explicitly encourage women to apply. We are committed to employing more handicapped individuals and especially encourage them to apply.
Application website: apply.ellis.eu (portal will open on October 1st, 2020)
Application deadline: December 1st, 2020, 23:59 CEST.
💯Deadline: 01 Dec 2020
🌐 https://bit.ly/2R7GClG
🆔 @PositionClub
#MSc Position
Topic: MSW management
> Collage of Engineering & Engineering Technology
> Northern Illinois University, USA
💯 Deadline: ASAP
Starting date is January 2021
🌐 https://www.linkedin.com/posts/mahdi-vaezi-a9959359_1-msc-position-is-available-in-my-research-activity-6708907536948494336-tSOn
🙏 Thanks to "Dr. Vaezi"
🆔 @PositionClub
Topic: MSW management
> Collage of Engineering & Engineering Technology
> Northern Illinois University, USA
💯 Deadline: ASAP
Starting date is January 2021
🌐 https://www.linkedin.com/posts/mahdi-vaezi-a9959359_1-msc-position-is-available-in-my-research-activity-6708907536948494336-tSOn
🙏 Thanks to "Dr. Vaezi"
🆔 @PositionClub
#scholarship
2021 University Recommended Japanese Government (MEXT) Scholarship
🔸Period of Scholarships
For a recipient who will enroll in a Master's Program or Doctoral Program, the scholarship will be payable for the standard period of time necessary for the recipient to complete his or her program (standard course term), starting from October 2021.
Master's Program = October, 2021 – September, 2023 (2years)
Doctoral Program = October, 2021 – September, 2024 (3years)
🔸 Application Period
From October 1 to October 30, 202
🔸 Application Mailing & Contact Address
Submit the required documents to apply for MEXT Scholarship to International Liaison Office by post in addition to applying for admission into the Graduate School of Science (Master's/Doctoral Program)
🌐https://www.s.u-tokyo.ac.jp/en/admission/scholarship.html#NonEligibility
🙏 Thanks to "Mahsa"
🆔 @PositionClub
2021 University Recommended Japanese Government (MEXT) Scholarship
🔸Period of Scholarships
For a recipient who will enroll in a Master's Program or Doctoral Program, the scholarship will be payable for the standard period of time necessary for the recipient to complete his or her program (standard course term), starting from October 2021.
Master's Program = October, 2021 – September, 2023 (2years)
Doctoral Program = October, 2021 – September, 2024 (3years)
🔸 Application Period
From October 1 to October 30, 202
🔸 Application Mailing & Contact Address
Submit the required documents to apply for MEXT Scholarship to International Liaison Office by post in addition to applying for admission into the Graduate School of Science (Master's/Doctoral Program)
🌐https://www.s.u-tokyo.ac.jp/en/admission/scholarship.html#NonEligibility
🙏 Thanks to "Mahsa"
🆔 @PositionClub
#PhD Positions
> Copenhagen University, Denmark
🌐 https://employment.ku.dk/phd/
🙏 Thanks to "Amin"
🆔 @PositionClub
> Copenhagen University, Denmark
🌐 https://employment.ku.dk/phd/
🙏 Thanks to "Amin"
🆔 @PositionClub
employment.ku.dk
PhD-positions
#PhD position
Title: PhD Positions in Machine Learning, Cognitive Science, Robotics, etc.
> Denoscription: We seek students who want to earn a Ph.D. while contributing to world-leading research in areas such as:
Computational Cognitive Science
Computer Graphics
Computer Vision
Control Systems
Haptics
Human-Computer Interaction
Machine Learning
Micro- and Nano-Robotics
Perceptual Inference
Robotics.
For more detail, please visit the link below.
> Max Planck Institute
> Germany.
💯Deadline: 02 Nov 2020
🌐 https://imprs.is.mpg.de/application
🆔 @PositionClub
Title: PhD Positions in Machine Learning, Cognitive Science, Robotics, etc.
> Denoscription: We seek students who want to earn a Ph.D. while contributing to world-leading research in areas such as:
Computational Cognitive Science
Computer Graphics
Computer Vision
Control Systems
Haptics
Human-Computer Interaction
Machine Learning
Micro- and Nano-Robotics
Perceptual Inference
Robotics.
For more detail, please visit the link below.
> Max Planck Institute
> Germany.
💯Deadline: 02 Nov 2020
🌐 https://imprs.is.mpg.de/application
🆔 @PositionClub
imprs.is.mpg.de
Application
#Postdoc position
Title: Postdoctoral Research Positions in Health Data Science.
> Denoscription: The research group of Dr. Sherri Rose (http://drsherrirose.org/) is seeking multiple postdoctoral fellows in health data science. The scope of postdoctoral projects is broad, and trainees from any discipline who have training or interest in quantitative methods tailored to solve problems in health care are welcome to apply. Postdoctoral fellows will have the flexibility to pursue topics within Dr. Rose’s ongoing areas of research (i.e., statistical machine learning methodology and applications for generalizability, causal inference, algorithmic fairness, comparative effectiveness research, risk adjustment, and health program evaluation) or develop a new project idea with Dr. Rose.
The culture of Dr. Rose's group is inquisitive, collaborative, kind, and inclusive so that scholars can do their best work. We have high standards for rigor, quality, and ethics and help each other learn in order to reach these objectives. Every trainee is a human first, and their career goals will be centered and supported. Dr. Rose is also Co-Director of the Health Policy Data Science Lab, a group of interdisciplinary researchers at Stanford and Harvard, and postdoctoral fellows will be members of the Lab.
Dr. Rose comes from a low-income background and is committed to increasing justice, equity, diversity and inclusion in the mathematical and health sciences. Postdoctoral fellows will have the opportunity to engage in programming related to these efforts (e.g., conferences, mentoring visiting summer students from underrepresented backgrounds) if they so choose..
> Stanford University, US.
🌐 https://postdocs.stanford.edu/prospective/opportunities/open-postdoctoral-position-faculty-mentor-sherri-rose
🆔 @PositionClub
Title: Postdoctoral Research Positions in Health Data Science.
> Denoscription: The research group of Dr. Sherri Rose (http://drsherrirose.org/) is seeking multiple postdoctoral fellows in health data science. The scope of postdoctoral projects is broad, and trainees from any discipline who have training or interest in quantitative methods tailored to solve problems in health care are welcome to apply. Postdoctoral fellows will have the flexibility to pursue topics within Dr. Rose’s ongoing areas of research (i.e., statistical machine learning methodology and applications for generalizability, causal inference, algorithmic fairness, comparative effectiveness research, risk adjustment, and health program evaluation) or develop a new project idea with Dr. Rose.
The culture of Dr. Rose's group is inquisitive, collaborative, kind, and inclusive so that scholars can do their best work. We have high standards for rigor, quality, and ethics and help each other learn in order to reach these objectives. Every trainee is a human first, and their career goals will be centered and supported. Dr. Rose is also Co-Director of the Health Policy Data Science Lab, a group of interdisciplinary researchers at Stanford and Harvard, and postdoctoral fellows will be members of the Lab.
Dr. Rose comes from a low-income background and is committed to increasing justice, equity, diversity and inclusion in the mathematical and health sciences. Postdoctoral fellows will have the opportunity to engage in programming related to these efforts (e.g., conferences, mentoring visiting summer students from underrepresented backgrounds) if they so choose..
> Stanford University, US.
🌐 https://postdocs.stanford.edu/prospective/opportunities/open-postdoctoral-position-faculty-mentor-sherri-rose
🆔 @PositionClub
postdocs.stanford.edu
Open Postdoctoral position, faculty mentor Sherri Rose | Office of Postdoctoral Affairs
Multiple Postdoctoral Research Positions in Health Data Science at Stanford The research group of Dr. Sherri Rose (http://drsherrirose.org/) is seeking multiple postdoctoral scholars in health data science. Postdoctoral scholars will work on grant-funded…
#phd position
Microfluiducs for characterization of plastics
KTH, Sweden
Check out this job at KTH | Kungliga Tekniska högskolan: https://www.linkedin.com/jobs/view/1415136580
🆔
@positionclub
Microfluiducs for characterization of plastics
KTH, Sweden
Check out this job at KTH | Kungliga Tekniska högskolan: https://www.linkedin.com/jobs/view/1415136580
🆔
@positionclub
Linkedin
KTH | Kungliga Tekniska högskolan hiring Doctoral student in microfluidics for characterization of plastics in Stockholm, Stockholm…
Posted 18 hours ago. Project denoscriptionThird-cycle subject: Biotechnology with enphasis on nanotechnologyMONPLAS is a…See this and similar jobs on LinkedIn.