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bioprocess engineering and modelling is desirable Application Process: Interested candidates should submit their CV, a cover letter, a short research summary and references to [email protected]
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science, electrical engineering, information technology, physics, computer science, mathematics or mechanical engineering strong background in the fields of machine learning and reinforcement learning very
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, biology, geosciences, physics, mathematics, computer science or a comparable field; Demonstrated experience performing simulations with Earth system models and/or DGVMs (e.g. LPJmL, aDGVM, JSBACH, etc
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, geosciences, physics, mathematics, computer science or a comparable field; Demonstrated experience performing simulations with Earth system and/or ocean models (e.g. CESM, UKESM, HadGEM, etc.) Scientific
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and implementation of research projects. Requirements: Completed scientific higher education degree (PhD) in the field(s) of Earth science, geosciences, physics, mathematics, computer science or a
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a challenging task for your Master's Thesis: As a member of our design team, you will compose thermal models from the material properties of a 22nm SOI waver process. While you run circuit & thermal
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at national and international conferences, co-authoring peer-reviewed scientific publications Your Profile: Scientific university degree in physics or chemistry with a focus on thin films Practical experience
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | about 3 hours ago
Spintronics Opto-optical materials Synthesis, characterization, modification, electronic and optical application of metal-organic frameworks (MOFs) Requirements The ideal candidate should have A PhD in physics
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charming town in southern Germany (Bavaria), registered on the UNESCO World Heritage List. All submitted data on your person will be deleted at the latest six months after finishing the selection process
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candidate, you hold an excellent or very good Master’s degree (or equivalent) in mathematics, engineering, statistics,physics or a related area, have strong interest and background in mathematical statistics