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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
findings at academic venues and publish research in peer-reviewed journals Your profile # Completed university studies (PhD) in the field of Physics, Computer science, Materials science, Chemistry, or a
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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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Supervision and mentorship of PhD and medical students, fostering their development and guiding them in their research projects Our requirements A PhD in biology, biochemistry, bioinformatics, or a related
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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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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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manuscripts Preparation of grant applications Providing guidance to junior researchers Your profile: A PhD degree (or comparable) and a strong background in biostatistics, epidemiology, biology, medicine
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Division of Pediatric Hematology and Oncology, Department of Pediatrics and Adolescent Medicine, Medical Center – University of Freiburg offers the position of a PhD candidate or Postdoctoral
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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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teaching and curriculum development. Your qualifications PhD in computer science, data science, applied mathematics, physics, or a related field. Strong expertise in machine learning and deep learning
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skills further, there is also the opportunity to aid in the planning, organization, and running of lectures. Required training, skills, and background • PhD degree in bio/medical engineering, materials