234 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" research jobs in Germany
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research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data
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hardware interfacing programming in Python Team-oriented and highly motivated to work in an experimental laboratory A background in quantum computing as well as experience with cryogenics, signal delivery
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data
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31.07.2023, Wissenschaftliches Personal Within the Joint Academy for Doctoral Studies (JADS) program of Technical University of Munich and Imperial College London, the Professorship of Energy
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available in the further tabs (e.g. “Application requirements”). Programme Description The Herder Fellowship Programme is aimed at researchers of all qualification levels (doctoral students, postdocs and
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available in the further tabs (e.g. “Application requirements”). Programme Description Applicants are highly qualified scientists and scholars from abroad just embarking on their academic careers who
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available in the further tabs (e.g. “Application requirements”). Programme Description The Carl Duisberg fellowship offers individual support to students in the disciplines of human or veterinary medicine
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available in the further tabs (e.g. “Application requirements”). Programme Description The grant is intended to support highly qualified scientists and scholars of all disciplines from developing and
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available in the further tabs (e.g. “Application requirements”). Programme Description Highly-qualified international scientists and scholars from all disciplines who completed their doctorates less than 12
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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