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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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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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demonstrator level (TRL 5-6) that allows to chart the next steps. Hence, the conducted work shall always entail the perspective towards generating data for entrepreneurial seed funding (GO-Bio etc.) for a
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through the DAAD Portal in the period between 4 November and 4 December. Application documents Documents to be uploaded to the DAAD portal: Information Sheet Online application form Full curriculum vitae in
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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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with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team orientation Excellent spoken and
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the entanglements of animals, empire, and science in the age of high imperialism, drawing on archival, environmental, or colonial history approaches For more information on the project, team members, and the
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30 Jan 2026 Job Information Organisation/Company University of Bayreuth Department Bayerisches Geoinstitut Research Field Geosciences Researcher Profile First Stage Researcher (R1) Positions PhD
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27 Jan 2026 Job Information Organisation/Company DFG-TRR/CRC 298 Research Field Biological sciences Chemistry Engineering Medical sciences Computer science Researcher Profile First Stage Researcher
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry