643 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" positions in Germany
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and present at international conferences Required Qualifications Master’s degree in computer science, or a closely related field Strong programming skills in Python and experience with deep learning
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America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and participation in the related Graduate School training programs
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available in the further tabs (e.g. “Application requirements”). Programme Description In line with its statutes, the Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation) supports
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available in the further tabs (e.g. “Application requirements”). Programme Description The SBW Berlin scholarship programme supports social commitment through the development of social projects during
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prestigious Humboldt Research Fellowships for the Logistics and Supply Chain Management research group at TUM School of Management. With the scouting program, the foundation aims to attract highly talented
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Senior Semantics Data Scientist (m/f/d) in the fields of Computer Science, Data Science, Physics, Ma
Excellent knowledge of semantic interoperability and machine-readable data formats (e.g., JSON, RDF) Very good programming skills, particularly in software development for scientific applications (e.g
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completed at the start of the position. • Interest in mathematical analysis of machine learning algorithms • Practical experience in programming and machine learning (desirable but not mandatory
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of Management and participation in the related Graduate School training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics, business studies
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is important to you to contribute to your team and achieve goals together in interdisciplinary collaboration. You plan and complete scientific tasks independently and to a high standard. You
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desirable, as well as knowledge of behavioral coding programs (e.g., Datavyu) and mastering of statistical methods and programming languages (e.g., R, Python). Experience with online data collection and