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FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Candidates should have good communication skills and motivation to familiarize themselves with new subject areas. The role requires both
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characterisation of plasma-chemical processes and plasma-surface interactions, and in particular: to operate and maintain a two-photon absorption laser-induced fluorescence experiment (TALIF); to quantify densities
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analysis of RNA structure (SHAPE, ILP) Experience in the use of a synchrotron Experience with small angle X-ray and/or neutron scattering Driving licence German language skills (B1 level or higher) A
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YOUR TASKS Discover and understand high-temperature superconductors Operation and maintenance of molecular beam epitaxy equipment Characterization of physical properties by other experimental techniques
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 2 months ago
). Tasks Discover and understand high temperature superconductors Operation and maintenance of molecular beam epitaxy equipment Characterization of physical properties by other experimental techniques in
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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
of Bremen is seeking to fill a position in Faculty 12 (Education and Educational Sciences) in cooperation with Faculty 3 (Mathematics/Computer Science) as a Postdoctoral Research Associate (f/m/d) Pay Grade
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the central hypothesis of these infections causing general stress responses and behavioural changes, which can be assessed on metabolic level or by video observation and artificial intelligence analysis
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Hospital. The position focuses on advanced medical image analysis in musculoskeletal medicine, with opportunities to take on scientific leadership responsibilities. The AIO group is part of the Department
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and functional changes in the heart and liver in animal experiments Isolation and analysis of primary liver and heart muscle cells from mice Preparation of tissue sections (liver and heart) using a
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willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis