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Degree PhD Doctoral degree or degree awarded by Freie Universität Berlin (FU), Humboldt-Universität zu Berlin (HU), or Technische Universität Berlin (TU) Course location Berlin In cooperation with
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“Stability and Solvability in Deep Learning”. This project focuses on mathematically analyzing machine learning algorithms with a particular focus on questions of stability, computability, and robustness
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imaging using deep learning. You will study the water imbibition in hierarchically porous Si‑based material systems across multiple length and time scales. These systems can manipulate fluid transport
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train deep learning models using agricultural image datasets Collaborate with researchers at the University of São Paulo and agricultural domain experts Publish research findings in peer-reviewed journals
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machine learning for time series, geospatial data or dynamic models; ideally experience with deep learning frameworks (e.g., PyTorch). Strong analytical and conceptual skills for designing and interpreting
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Incorporating reinforcement learning strategies to guide model optimization, with a focus on minimizing immune responses and improving therapeutic viability Your Profile: Completed Master/PhD Degree in the field
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institution. At the Faculty of Mechanical Science and Engineering, Institute of Aerospace Engineering, the Chair of Space Systems offers a full-time position as Research Associate / PhD Student (m/f/x) E
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institution. At the Faculty of Mechanical Science and Engineering, Institute of Aerospace Engineering, the Chair of Space Systems offers a full-time position as Research Associate / PhD Student (m/f/x) E
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institution. At the Faculty of Mechanical Science and Engineering, Institute of Aerospace Engineering, the Chair of Space Systems offers a full-time position as Research Associate / PhD Student (m/f/x) E
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engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 30 Jan 2026 - 23:59 (Europe/Brussels) Type of Contract Temporary Job Status Full-time