274 affective-computing-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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of CH previously developed in our group. About You We are seeking quantitatively-minded researchers with a PhD in physics, mathematics, computer science, mathematical/computational biology, evolutionary
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its Impact on Pupil Outcomes. Working collaboratively within a research team, they will synthesise evidence to develop a robust, research-informed conceptual framework of school and classroom climate
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application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal
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Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. The
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innovative problem-solving. The position requires maintaining a high standard of research, presenting findings at leading international conferences, and publishing in high-impact journals. About You The
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impact? We are currently seeking a/an University Assistant postdoctoral 49 Faculty of Social Sciences Startdate: 05.05.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b
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their expertise in being part of a laboratory delivering assay results to underpin a multicentre drug screening programme in ALS. This post is suitable for a bioscience graduate with excellent organisational skills
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effectively within the research programme as outlined in the role description This is a full time, fixed term post (part time considered) for 3 years. The closing date for applications is noon on 14 April 2026
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises the Departments of Chemistry, Informatics, Mathematics, Physics. The Department of Mathematics has a
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We are looking for a Postdoctoral Research Associate reporting to the Principal Investigator Prof Yee-Whye Teh, they will be a member of the Oxford Computational Statistics and Machine Learning