1,229 assistant-professor-computer-science-data-"https:"-"https:"-"https:" positions in Germany
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available in the further tabs (e.g. “Application requirements”). Programme Description Women Involvement in Science and Engineering Research (WISER), a programme by the Indo-German Science and Technology
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available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science
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Max Planck Institute for Intelligent Systems, Stuttgart, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 9 days ago
science, and other fields. Our current projects range from basic research on the sense of touch to applications in human-computer interaction and human-robot interaction. We are looking for a Team Assistant
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, structural biology methods Expertise with computational workflows, scripting, or data analysis Excellent organizational, communication, and project management skills, ability to work interdisciplinary and
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, environmental sciences, or a related discipline, is required. Basic knowledge and interest in atmospheric physics Skills in model & satellite data analysis is desired Fundamental programming skills and expertise
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available in the further tabs (e.g. “Application requirements”). Programme Description The yDiv Graduate School is looking for highly-motivated, international candidates from the Global South to apply
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. As part of our project with the start-up TwinCloud, we are looking for a Student
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programme and are mentored by a PhD advisor (professor or similar) at a higher education institution in Mecklenburg-West Pomerania artists with a higher education degree who wish to carry out an artistic
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measurements, and simulation results Integrate data engineering workflows with HPC-based simulation environments Optimize and parallelize software solutions for execution on one of the world’s most powerful and
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with their environment. We use an interdisciplinary approach from protein biochemistry to cell biology to analyze the machinery and mechanisms that monitor cellular protein biogenesis. THE PROJECT