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research group (please find further information at https://www.biologie.uni-konstanz.de/gruber ). You will be developing machine learning-based data science approaches for the analysis of Next Generation
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of interdisciplinary imaging of the brain is required for a successful research program, demonstrated by relevant publications and successful acquisition of third-party funding. Collaboration with additional research
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
23 Jan 2026 Job Information Organisation/Company Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung Research Field Environmental science Researcher Profile Recognised
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interdisciplinary doctoral programme of the Institute for Employment Research (IAB) and the School of Business, Economics and Society of Friedrich Alexander University Erlangen-Nuremberg. It is specialised in labour
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20 Feb 2026 Job Information Organisation/Company FBN Dummerstorf Research Field Agricultural sciences » Zootechnics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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- Integrating exudation into the root economics space to better understand carbon and nutrient cycling in managed grasslands” is part of the DFG Priority Program 1374 “Biodiversity Exploratories”. The project
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programme No Joint degree / double degree programme No Description/content The Graduate School of the Social and Behavioural Sciences (GSBS) at the University of Konstanz brings together researchers from
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engineering, biotechnology, computational biophysics, bioinformatics, data science, or a closely related discipline with a strong academic record Genuine interest in data-driven and physics-based modeling
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subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python (PyTorch, scientific Python) with solid
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: PHD Thesis Job description: Your Job: Digital methods for inverse materials design are essential