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Field
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15th July 2026 Languages English English English Do you want to contribute to groundbreaking research? Become a postdoc at BIOVIT at NMBU! Postdoctoral fellow within AI-Driven Digital Phenotyping
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Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 3 Jul 2026 - 23:59 (Europe/Andorra) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week
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fte Introduction The Erasmus School of Philosophy is looking for a postdoc candidate to conduct research in any area of philosophy of science and/or moral philosophy relevant to climate change research
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A postdoctoral position is available to study dynamic processes in early development of insects and mammals. Successful candidates will join a collaborative and interdisciplinary venture in
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from the PI, and tailored support for career development toward the postdoc's chosen trajectory (academic, industry, or otherwise). Anticipated Division of Time: • Research design, execution, and data
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Researcher (R1) Positions Postdoc Positions Application Deadline 22 Jul 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment
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dynamics during regeneration, aging, and cancer, and how these processes can be modulated. Our research is primarily conducted in vivo. We combine genetic mouse models (lineage tracing, conditional
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tasks include: AI support in the process chain: developing and applying image analysis, data process analysis, and sensor technology for textile production; using machine learning for process optimisation