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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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the field of model-driven and data-driven computational science. Job description Are you interested in bridging the gap between mathematical sciences on the one side and natural sciences, engineering and
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history. As the funding comes from a specific project of the German Science Foundation (DFG), the applicant is required to have written a working paper on Asian economic history over the past millennia
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design and impact analysis, resource allocation, growth and welfare evaluation, technology diffusion and firm level innovation. leading to an internationally competitive PhD degree and internationally peer
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journals Contribution to the teaching and research activities of the group Requirements: Applicants should hold an MSc or Diploma in Computer Science, Computational Engineering or a related discipline
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Research with greater impact 19.03.2026 “The German health care system requires especially robust evidence” 19.03.2026 First world map shows impact of the tidal pulse in coastal rivers 19.03.2026 Hope
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program. Requirements Very good master's degree in computer science, data science, mathematics or a related discipline; relevant research experience (e.g., master's thesis) in the field of NLP/ML/text
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production of bacteria via mass spectrometry Statistical analysis of the resulting data The successful candidate will have the opportunity to work towards a PhD Required qualifications: University degree (M.Sc
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available in the further tabs (e.g. “Application requirements”). Programme Description As part of the HessenFonds, the Hessian Ministry of Higher Education, Research, Science and the Arts provides