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the PowderMEMS group. What you bring to the table Currently studying computer science, electrical engineering, physics, materials science, or a related natural science or engineering degree program Ideally
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What you contribute You are studying a technical or scientific degree program such as mechanical engineering, materials science, or computer science You are interested in technical problems in
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towards a more sustainable future. The Core Unit High Performance Computing (HPC) at the Max Planck Institute of Geoanthropology is the central support unit and technical partner for researchers. We help
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of socioeconomics, marine ecology, physical oceanography and biogeochemistry with Earth system modelling. At ZMT, the Programme Area on ’Societal Impact’ serves as a hub for knowledge exchange and inter- and
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Sensors play a pivotal role in modern analytical sciences, particularly in the development of high-performance platforms for the detection of biological and chemical analytes. Applications span health care, environmental monitoring, breath diagnostics (breathonics), and industrial safety....
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 30 days ago
evaluation by the International Max Planck Research School for Cell, Developmental, and Systems Biology (IMPRS-CellDevoSys). The selected candidate will be integrated into our structured doctoral program
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available in the further tabs (e.g. “Application requirements”). Programme Description The Foundation of German Business (sdw) offers undergraduate and graduate students a vast number of opportunities ranging
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mainly in relation to transformers Experience with Pytorch and transformer architectures is desirable Good English skills Enrolled student (Computer Science, Data Science, Mathematics or similar
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plasma cells within specific regions of the bone marrow. Requirements and Skills: Excellent M.Sc. degree (or equivalent) in the areas biomedical, computational or nutritional sciences A background in
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software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new code via