#Postdoc Researcher on alignment of MMFM with ethical, legal, and social values. Specifically, Oxford Internet Institute
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=180757
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=180757
#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
www.jobs.ac.uk
jobs.ac.uk - Search
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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.
We are doing a new kind of project with the aim of transporting knowledge and methods from the humanities into a natural science context.
We'll have 5 full 3year #postdoc positions at HIFMB Oldenburg
https://hifmb.de/institute/hipp/human-progress
We'll have 5 full 3year #postdoc positions at HIFMB Oldenburg
https://hifmb.de/institute/hipp/human-progress
HIFMB Oldenburg
HIPP 27: HUMAN PROGRESS - HIFMB Oldenburg
The HUMAN PROGRESS project aims to advance research in the natural sciences by drawing on methods, insights, and knowledge from across the humanities and social sciences. In doing so it also offers fresh frameworks of thinking for the humanities and social…
#Postdoc Research Associate in AI for Equitable Disease Modelling | King's College London
https://www.kcl.ac.uk/jobs/147007-postdoctoral-research-associate-in-ai-for-equitable-disease-modelling
https://www.kcl.ac.uk/jobs/147007-postdoctoral-research-associate-in-ai-for-equitable-disease-modelling
King's College London
Postdoctoral Research Associate in AI for Equitable Disease Modelling
#Postdoc Researcher in Personalized Oncology and Clinical Data Science at Center for Surgical Science, Zealand University Hospital
https://www.regionsjaelland.dk/job-og-uddannelse/jobside?hr=show-job/60686&locale=en_US&sd=1
Qualifications:
Hold a PhD in Data Science, Bioinformatics, Medical Informatics, Computer Science, Software Engineering or a related field.
Expertise in AI/machine learning and its application to clinical datasets.
A collaborative mindset, with the ability to work across domains including clinicians, data scientists, and registry experts.
Have good communication skills and contribute to the team spirit of the unit
Have a strong personal drive and bring forth initiative and new ideas
https://www.regionsjaelland.dk/job-og-uddannelse/jobside?hr=show-job/60686&locale=en_US&sd=1
Qualifications:
Hold a PhD in Data Science, Bioinformatics, Medical Informatics, Computer Science, Software Engineering or a related field.
Expertise in AI/machine learning and its application to clinical datasets.
A collaborative mindset, with the ability to work across domains including clinicians, data scientists, and registry experts.
Have good communication skills and contribute to the team spirit of the unit
Have a strong personal drive and bring forth initiative and new ideas
Pentia DXP
Søg job hos Region Sjælland
Region Sjælland er en arbejdsplads med gode muligheder for dig og dine ambitioner. Du bliver en vigtig del af et stærkt fagligt miljø med fokus på at gøre en forskel. Vil du være med?
#Postdoc in Foundations for Emergent Deception in Human-AI Interaction
We are seeking to recruit a postdoctoral researcher to work on the project "DeceptionWeb: Foundations for Emergent Deception in Human-AI Interaction", funded by a UCPH Convergence Grant and led by Pepa Atanasova (Computer Science), Ingo Zettler (Copenhagen Center for Social Data Science and Department of Psychology), and Egor Starkov (Economics). The project's goal is to build a foundational framework for understanding emergent deception in human-AI interaction by uniting behavioural-psychological, economic-strategic, and machine learning perspectives.
The ideal candidate would have an educational background, prior research and work experience on Natural Language Processing, LLM Security, and/or Explainable AI.
https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=3010&departmentId=19976&ProjectId=163590&MediaId=4917
We are seeking to recruit a postdoctoral researcher to work on the project "DeceptionWeb: Foundations for Emergent Deception in Human-AI Interaction", funded by a UCPH Convergence Grant and led by Pepa Atanasova (Computer Science), Ingo Zettler (Copenhagen Center for Social Data Science and Department of Psychology), and Egor Starkov (Economics). The project's goal is to build a foundational framework for understanding emergent deception in human-AI interaction by uniting behavioural-psychological, economic-strategic, and machine learning perspectives.
The ideal candidate would have an educational background, prior research and work experience on Natural Language Processing, LLM Security, and/or Explainable AI.
https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=3010&departmentId=19976&ProjectId=163590&MediaId=4917
#Postdoc Research Scientist in Computational Vaccinology
Pandemic Sciences Institute, Li Ka Shing Centre for Health and Information Discovery, Old Road Campus, Headington, Oxford, OX3 7LF
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=187018
Pandemic Sciences Institute, Li Ka Shing Centre for Health and Information Discovery, Old Road Campus, Headington, Oxford, OX3 7LF
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=187018
#Postdoc Fellow in Infectious Disease Modeling and Causal Inference: Impact of Nonpharmaceutical Interventions on COVID-19 outcomes
https://postdocs.stanford.edu/prospective/opportunities/open-postdoctoral-position-faculty-mentor-marc-lipsitch
https://postdocs.stanford.edu/prospective/opportunities/open-postdoctoral-position-faculty-mentor-marc-lipsitch
#Postdoc Researcher in Computational Social Science | Aalto University
https://www.aalto.fi/en/open-positions/postdoctoral-researcher-in-computational-social-science
https://www.aalto.fi/en/open-positions/postdoctoral-researcher-in-computational-social-science
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Linköping University
#PhD student in financial mathematics or financial statistics
https://liu.se/en/work-at-liu/vacancies/29073
#Postdoc in Financial Mathematics or Statistics
https://liu.se/en/work-at-liu/vacancies/29133
#PhD student in financial mathematics or financial statistics
https://liu.se/en/work-at-liu/vacancies/29073
#Postdoc in Financial Mathematics or Statistics
https://liu.se/en/work-at-liu/vacancies/29133
liu.se
PhD student in financial mathematics or financial statistics