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invites applications for a vacant Postdoc in Pension Economics at the Department of Economics. The Department of Economics engages in research, teaching, and knowledge transfer within the core areas of
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determine the associated fitness outcomes. Your Profile PhD in Behavioral Biology or a related field e.g., Cognitive Sciences Experience in conducting observational and experimental studies with wild
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project (and a 2nd PostDoc vacancy within the project) can be found at its website: https://www.mobilitydesaignlab.nl/. Job requirements The candidate should have: a PhD degree in Artificial Intelligence
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:38183983) using cutting-edge genomics technologies (https://www.biorxiv.org/content/10.1101/2024.12.20.629444v5) to provide core knowledge for development of new therapies and management strategies for PPK
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16 Apr 2026 Job Information Organisation/Company Université Savoie Mont Blanc Research Field Computer science Geosciences Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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); - Experience with data balancing techniques; - Desirable basic knowledge of Multiple Input, Multiple Output (MIMO), Fluid Antenna System (FAS), and Compressive Sensing (CS); - PhD degree obtained within the last
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germination?” will run at the Wageningen Seed Science Centre under supervision of Prof. dr. Leónie Bentsink. You will be working in a team with two PhD students and two other post-doctoral researchers. You will
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. Candidates should hold a PhD degree with professional experience in biotechnology, process engineering, modelling, and simulation of bioreactor. The postdoctoral researcher will join a multidisciplinary and
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Additional Information Eligibility criteria - PhD in astronomy, astrophysics, plasma physics and/or a related field ; - Advanced knowledge in solar physics, space plasmas, or plasma physics. Full expertise in
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with academic and industrial partners; You take initiative in developing new experimental and analytical approaches; A PhD (working and thinking level) in chemistry, chemical engineering, or a closely