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no more than 5 years from receiving their PhD. These postdoctoral positions focus on research and carry no teaching responsibilities. Funding is available through faculty members' research grants, the Zuckerman
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contributing to papers, abstracts, funding applications and/or reports Desirable criteria Post-doctoral or equivalent industry experience in immunology Experience in analysing high-dimensional and spatial data
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to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
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(supervisor, Andrew Barr) The postdoc will conduct multi-disciplinary analyses of many types of data, archeological, anatomical, and geological data. The position requires a PhD in anthropology, biology
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Experience1 - 4 Additional Information Eligibility criteria - PhD on steganalysis and/or watermarking - knowledge in image coding and on generative methods - knowledge about python Additional comments NA
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 5 days ago
Sciences is an internationally active research institute and member of the Leibniz Association, funded by federal and state governments. Starting on 01.01.2027 our Department Data and Research on Society
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patents. The appointee will analyse scientific data from a variety of sources to develop the project, reviewing and refining working hypotheses as required. You should hold a PhD/DPhil in medicinal
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individuals holding a PhD in the Life Sciences or an M.S. degree with extensive experience are encouraged to apply. This position will be hired at either the Postdoctoral Research Associate classification
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24 Sep 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Chemistry - Ångström Laboratory Research Field Chemistry Researcher Profile First
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London, and with a strong team of postdoctoral researchers and PhD students Generous access to frontier AI models and high-performance compute for proof-assistant workloads Funded travel for collaboration