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, the following position is available from 1st January 2027: PhD Position in Learning Analytics and Self-Regulated Learning (m/f/d, E13 TV-L, 75%) DFG-funded project TRACE: Trajectories of Adaptation, Disengagement
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Engineering » Biomaterial engineering Biological sciences » Biological engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Nov 2026 - 23:59 (Europe/Berlin
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and motivation to conduct the PhD project Project plan (max 2 pages) addressing your understanding of the project’s problem, expected challenges and ideas to overcome them, as well as indicating your
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criminal law. You will draw up a research plan and corresponding research methods in consultation with your supervisors and undertake the necessary administration for a smooth PhD process. You will conduct
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Quantum Fields, Information, and Next-Generation Cosmological Probes This PhD project will investigate theoretical aspects of quantum field theory in cosmological spacetimes, with a particular focus
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Multi-Scale Comparisons of Patterns of Concerted Activity and Causality in Cortical Neural Activity Shape the future
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each day to conduct world-class science. The Biophysics department of GSI is an interdisciplinary collaboration of biologists, physicists, chemists, biochemists and technicians. The multidisciplinary
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each day to conduct world-class science. The Biophysics department of GSI is an interdisciplinary collaboration of biologists, physicists, chemists, biochemists and technicians. The multidisciplinary
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 30 days ago
Framework Programme? Not funded by a EU programme Reference Number 2026-10411 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD will be hosted by Inria
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, high vibration levels, and complex magnetic field behavior. This research project aims to propose design optimisations to enhance the performance of BDFMs and position BDFMs as a competitive alternative