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are expected. Knowledge in parallel programming is desirable. Prior knowledge in differential-algebraic equations, Gaussian processes or kernel based methods is a plus; programming experience in Python or C/C
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partners regarding the horticultural experi-ments (Osnabrück University of Applied Sciences and the Institute of Plant Genetics of the LUH) and the optical superimposition of imaging with a processing laser
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, downstream processing and molecular biology Experience in bioreactor operation Basic knowledge of further processing Interest in working in an international team, enjoy teamwork, good time management and
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of behavioural biology/laboratory animal science and neurobiology Experience with cell biology and molecular biology methods Very good written and spoken English Very good IT skills in Office and statistics
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is funded by the German Ministry of Research, Technology and Space in the scope of the Fusion 2040 programme. After reaching scientific gain in laser-driven ICF experiments at the National Ignition
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degree in computational engineering, mechanical engineering, computer science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural
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; working on the individual PhD study project with experimental, numerical, metrological or empirical focus in collaboration with other RTG members (fellow students and supervising professors); implementation
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Advancement: Receive dedicated support for fellowship applications and tailored guidance for your career. Quality of Life in Dresden: Experience a high quality of life in Dresden, with its dynamic urban scene
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, novel 2D and 3D processing techniques, and integration into devices. Various synthesis, manufacturing, and experimental techniques will be utilized and coupled to cutting edge simulations, facilitating
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qualification. Substantial knowledge, proven interest, laboratory experience (if applicable) and experimental expertise in at least one of the following research areas are of advantage: Carbohydrates