127 computer-science-programming-languages-"the"-"UCL"-"O.P"-"U.S"-"Prof"-"UNESP"-"Dr" positions at DAAD
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promoted. The ERA Fellowships – Green Hydrogen programme, funded by the Federal Ministry of Research, Technology and Space (BMFTR), is complemented by comprehensive networking measures and the establishment
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profile: Successful degree (Master's, Diploma) in the field of computer science, software systems engineering, digital technologies or comparable qualification Openness to varied and exciting topics and
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science in close cooperation with the research groups at the DPZ and the Göttingen Campus. PhD projects cover a broad range of topics. A structured PhD program will offer many opportunities
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phases Your profile Excellent Master’s or Diploma degree in medical physics, physics, computer science, medical engineering or a closely related field with a strong interest in data science and
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. This joint research project is organized as an interdisciplinary graduate school, combining individual supervision with intensive collaboration across institutions. The structured qualification program
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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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areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics Familiarity with
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molecular tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
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at renowned institutions, including the Max Planck Institute for Infection Biology, German Rheumatology Research Center (DRFZ), Charité-Universitätsmedizin Berlin and Technische Universität Berlin
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling