592 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "UNIV" PhD positions in Germany
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is seeking a PhD Candidate / Software Developer for Aerospace Knowledge Base (m/f/d
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team. You will be enrolled in the TUM Graduate School with its structured doctoral program and professional-skills courses. You will contribute to an French-German collaboration on next-generation
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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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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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related fields Native speaker or excellent command of German and English Experience in programming (in R) or motivation to learn and perform bioinformatic analyses of bacterial DNA (16S rRNA and shotgun
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- Good PC and programming skills (e.g., with Python, MATLAB) - Experience with measurement techniques and field measurements using sensor technology (ideally using seis-mometers, geophones, etc.), as
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Geosciences – as well as the Marine Observation Department, work interdisciplinarily within the framework of a joint research programme . Equal opportunities, family-friendliness, and work-life balance