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conferences in Germany and abroad (incl. presenting your research results) Preparation scientific publications and project reports Co-supervision and support of Master and PhD students Your Profile: Excellent
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scaling and generalization behavior Roll out the model to the global user community Requirements PhD or MSc in computer science, physics, mathematics or a related discipline Experience with large-scale HPC
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of climate model output by means of classical statistical and machine-learning methods #coordination of scientific workflows among project partners Your profile #Master's degree and PhD degree in meteorology
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degree and PhD degree in meteorology, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods excellent knowledge in UNIX/Linux and Unix
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meetings, conferences, and as scientific papers Contribute to educational events, such as courses and hackathons Your Profile: Excellent Master or preferably subsequent PhD degree in Computer Science
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scientists. Applicants should hold a Master’s in biology or a related field as well as a PhD in this scientific area, with a track record of publications in peer-reviewed journals. Applicants should have
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travel to present at scientific conferences and strengthen inter-lab cooperations Your Profile: University degree (Master) in computer science, physics or a comparable scientific field PhD in one
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`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 2 months ago
results in law, in related humanities, or in the social sciences. Your PhD dissertation in English or German will have been awarded ”summa cum laude” or the highest grade in another grading system
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expertise from a wide range of partners in academia and industry, with both application and system expertise. About us CAPS is part of TUM’s department of Computer Engineering, one of the leading CE