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The Royal Veterinary College, University of London | Potters Bar, England | United Kingdom | about 15 hours ago
Location: Hawkshead (nr Potters Bar, Herts) Two initially 3-year postdoc positions in molecular parasitology are available from March 2026 in the team of Dr Ellen Knuepfer, Molecular & Cellular
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Hopkins University (USA). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high
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agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 29.02.2028 Reference no.: 5155 The Department of Geography and Regional Research is the oldest and largest geographical institute in Austria. It is home
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electrochemically characterise a series of metalloenzymes as the central target of the last WP3 of the ERC project. The postdoc will have to also work on electrode chemical modifications and be able to work
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. B1 lit. b (postdoc) Limited until: 31.03.2030 Reference no.: 5200 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support
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:00 on Monday 23 February 2026. Interviews will be held as soon as possible thereafter. At the Dunn School we are committed to supporting the professional and career development of our postdocs and
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This is an exciting opportunity to help shape the direction of a new research group, and supervise PhDs and Masters’ students. We are looking for an independent postdoc who wants to explore both
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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Application Deadline 14 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for