#Postdoc (Bioinformatics/Data Science) in data-driven protein-protein interaction research at Department of Drug Design and Pharmacology
https://jobportal.ku.dk/videnskabelige-stillinger/?show=164645
https://jobportal.ku.dk/videnskabelige-stillinger/?show=164645
jobportal.ku.dk
Videnskabelige stillinger
#Postdoc Research Assistant in Machine Learning
Statistics, 24-29 St Giles’, Oxford, OX1 3LB
We invite applications for a full-time Postdoctoral Research Associate to join the new Data-Driven Algorithms for Data Acquisition (DataAcq) project. This is a timely project developing new methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon Guarantee for an ERC Starting Grant awarded to Prof Tom Rainforth.
The post holder will undertake innovative research as part of the RainML Lab (https://www.rainml.uk/) towards the goals of the DataAcq project. In particular, the post holder will be expected to undertake research related to one or more of the three work packages of the project: a) scalable and robust Bayesian experimental design, b) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models).
The successful postholder will hold or be close to the completion of a PhD/DPhil in Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the ability to contribute ideas for new research projects and research income generation. Previous research experience in one or more areas relevant to the research programme. For example: probabilistic machine learning, deep learning, experimental design, active learning, generative modelling, computational statistics, reinforcement learning, or Bayesian optimisation. This must include the ability to develop and/or analyse new methodology. Proficiency in the use of PyTorch, Tensorflow, Jax, or an equivalent deep learning library is desirable.
We proudly hold a Race Equality Charter Bronze Award and a departmental Athena SWAN Silver Award, which guide our progress towards advancing racial and gender equality. Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as outlined in full in the job description. You will be required to upload a statement setting out how you meet the selection criteria, a curriculum vitae, and the contact details of two referees as part of your online application. Please note that applicants are responsible for contacting their referees and making sure that their letters are sent to hr@stats.ox.ac.uk directly by the closing date.
Please direct informal enquiries about the post to Professor Tom Rainforth rainforth@stats.ox.ac.uk, quoting vacancy reference 181060.
Only applications received before 12.00 noon UK time on 03 September 2025 can be considered. Interviews are anticipated to be held on 24 September 2025.
Link: https://www.jobs.ac.uk/job/DOC113/postdoctoral-research-assistant-in-machine-learning
Statistics, 24-29 St Giles’, Oxford, OX1 3LB
We invite applications for a full-time Postdoctoral Research Associate to join the new Data-Driven Algorithms for Data Acquisition (DataAcq) project. This is a timely project developing new methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon Guarantee for an ERC Starting Grant awarded to Prof Tom Rainforth.
The post holder will undertake innovative research as part of the RainML Lab (https://www.rainml.uk/) towards the goals of the DataAcq project. In particular, the post holder will be expected to undertake research related to one or more of the three work packages of the project: a) scalable and robust Bayesian experimental design, b) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models).
The successful postholder will hold or be close to the completion of a PhD/DPhil in Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the ability to contribute ideas for new research projects and research income generation. Previous research experience in one or more areas relevant to the research programme. For example: probabilistic machine learning, deep learning, experimental design, active learning, generative modelling, computational statistics, reinforcement learning, or Bayesian optimisation. This must include the ability to develop and/or analyse new methodology. Proficiency in the use of PyTorch, Tensorflow, Jax, or an equivalent deep learning library is desirable.
We proudly hold a Race Equality Charter Bronze Award and a departmental Athena SWAN Silver Award, which guide our progress towards advancing racial and gender equality. Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as outlined in full in the job description. You will be required to upload a statement setting out how you meet the selection criteria, a curriculum vitae, and the contact details of two referees as part of your online application. Please note that applicants are responsible for contacting their referees and making sure that their letters are sent to hr@stats.ox.ac.uk directly by the closing date.
Please direct informal enquiries about the post to Professor Tom Rainforth rainforth@stats.ox.ac.uk, quoting vacancy reference 181060.
Only applications received before 12.00 noon UK time on 03 September 2025 can be considered. Interviews are anticipated to be held on 24 September 2025.
Link: https://www.jobs.ac.uk/job/DOC113/postdoctoral-research-assistant-in-machine-learning
Jobs.ac.uk
Postdoctoral Research Assistant in Machine Learning at University of Oxford
Discover an exciting academic career path as a Postdoctoral Research Assistant in Machine Learning at jobs.ac.uk. Don't miss out on this job opportunity - apply today!
We are hiring multiple #PhD and #postdoc researchers for two newly funded projects related to the interaction of mental health and political polarization. The positions are in the Department of Computer Science at Aalto University in Finland. You will be joining a larger group of researchers working on similar topics. The department has a strong community of researchers working on related topics, including digital health and welbeing, network science, computational social science, and many topics in machine learning.
https://www.aalto.fi/en/open-positions/open-postdoctoral-and-doctoral-positions-to-work-on-polarization-and-mental-health
https://www.aalto.fi/en/open-positions/open-postdoctoral-and-doctoral-positions-to-work-on-polarization-and-mental-health
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#Postdoc Positions in Mathematics at the Department of Mathematical Sciences KU
https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentId=18973&ProjectId=164797&MediaId=5&SkipAdvertisement=false
https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentId=18973&ProjectId=164797&MediaId=5&SkipAdvertisement=false
#Postdoc Research Associate in Applied Mathematics and Computational Neuroscience
https://www.maths.ox.ac.uk/node/74169
https://www.maths.ox.ac.uk/node/74169
Senior Scientist (= #PostDoc with option of permanency)!
https://jobs.uni-graz.at/en/jobs/7d1400f4-cbe6-ab69-dc82-68e77675d81c?category=Academic%20Staff%20(Non-Tenure-Track),Academic%20Staff%20(Development%20Position)
https://jobs.uni-graz.at/en/jobs/7d1400f4-cbe6-ab69-dc82-68e77675d81c?category=Academic%20Staff%20(Non-Tenure-Track),Academic%20Staff%20(Development%20Position)
#Postdoc position for Generative models for molecular dynamics
https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14027&rmlang=UK
https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14027&rmlang=UK
www.chalmers.se
Vacancies
#postdoc Researcher positions | Statistical Physics and Active Matter
https://www.mpg.de/25427964/postdoctoral-researcher-positions-mpids-w088
https://www.mpg.de/25427964/postdoctoral-researcher-positions-mpids-w088
Max-Planck-Gesellschaft
Postdoctoral Researcher positions | Statistical Physics and Active Matter
Postdoctoral Researcher positions on Statistical Physics and Active Matter at the Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany
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The Digital Democracy Center (DDC) at the University of Southern Denmark, Odense, invites applications for one or more full-time #Postdoc positions within the interdisciplinary and cross-European research project FOOD-FRAMES.
https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/da/sites/CX_1001/job/3459
https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/da/sites/CX_1001/job/3459
SDU Career Site
Postdoc position(s) at The Digital Democracy Centre (DDC)
Application deadline: February 15, 2026.