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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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models and human mucosa-associated microbiota. Details of the associated RTG2751 consortium and other related projects can be found at www.medizin.uni-halle.de/grk2751 Your Profile Completed excellent
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measurements of VOCs and particles at selected locations in Bremen, as well as meteorological and model data. Academic assistance in teaching, amounting to 2-3 SWS (hours per semester week) including
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-oriented employment with attractive conditions A broad range of further education and professional development programmes (for example language courses) An occupational health management model with numerous
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. Competence in computer-aided methods for data analysis and modelling, e.g. with Python, advanced MS Excel Sheets, Aspen or multiphysics simulation tools. Excellent cooperation and communication skills complete
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The University Medical Center Göttingen (UMG) unites the Medical Faculty of the Georg-August University and the University Hospital in an integration model. With around 9,700 employees, the UMG and
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combining: Molecular synthesis Electrical contacting of nanoscale electronics Modelling of properties on an atomistic level The IHRS NanoNet offers an international scientific environment and an excellent
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employees are particularly important to us. Gender equality is an important aspect for us. To support work‑life balance, we offer flexible working hours, variable part‑time, job‑sharing models and
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facilities near Berlin and Potsdam a pleasant and appreciative working atmosphere flexible and family-friendly working time model and the possibility of mobile working (up to 50% of working time) subsidy for a
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to an unprecedented extent. The main topics include the description and modelling of wind turbulence, the analysis of interactions of turbulent atmospheric wind flow and wind energy systems, as well as control of wind