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Field
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-informed / simulation-aware modeling Efficient algorithms for design-space exploration (e.g., surrogate modeling, Bayesian optimization, differentiable programming) Hybrid approaches combining data-driven
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biochemists developing the labeling agents, data analysts developing analysis algorithms and physicists developing hardware. The candidate The candidate should have a firm base in in vivo imaging and cell
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or for an MSc or PhD (or equivalent) in medical engineering, applied medical sciences, public health, or data science in medicine. It funds students from Germany who wish to carry out research stays, internships
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DIPF | Leibniz Institute for Research and Information in Education contributes to addressing challenges in education through empirical research, digital infrastructure and knowledge transfer. At its
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the VIOLET research framework Work closely with clinicians and data scientists to ensure the developed systems meet clinical needs and are validated against real-world scenarios Mentor and supervise PhD
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or more. Selection Applications are reviewed and selected by a DAAD selection committee. The approval of the K.C. Wong Education Foundation is then required. Further information The DAAD will not consider
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pro-rata for different periods. Application Papers You will find all application forms and further information on the application procedure here . Application Deadline Applicable deadlines will be
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Robot Learning (ID: TUEILSY-POSTDOC20251219-RL) Robots that learn from data promise greater autonomy and performance, but their deployment in the real world hinges on the ability to guarantee safety
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 1 month ago
confined devices You have a background in modelling and/or (magnetic field) optimization You have experience with data analysis You can present scientific results in a concise manner and work
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Research Council (ERC Starting Grant, Project 101042125). The group collects legal information of social security systems in the fields of healthcare, old age security, unemployment, and minimum protection