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simulations for plume-in-grid models Requirements: university degree (MSc or equivalent) in the field of aerospace engineering, physics or similar solid knowledge of Physical and Analytical Chemistry (phase
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well as material characterization would be beneficial basic knowledge of plasma physics, thin-film technology, and semiconductor physics would be an advantage fluency in English - written and oral We offer: You will
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
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related field research experience, evidenced by publication(s) or a relevant M.Sc. thesis, good knowledge of algorithms and discrete mathematics excellent written and spoken English skills knowledge
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good chance for you to be selected. Duration depending on the type of stipend (please see formal requirements) Scholarship Value Students and graduates wishing to deepen their subject-related knowledge
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modeling and computational workflows Knowledge about machine learning: statistics and deep learning Experience in data analysis, visualization and presentation Good programming skills in languages such as
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Description The International Max Planck Research School “Knowledge and Its Resources: Historical Reciprocities” (IMPRS-KIR) invites applications for 3 doctoral positions, to begin on September 1
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tolerance of these novel materials and to enable a knowledge-based assessment of their suitability for future nuclear systems. At the same time, the successful candidate will contribute to maintaining
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prerequisites may differ and are stated in the fellowship offers, have an excellent knowledge of English; knowledge of German is advantageous. Application Procedure Application deadline If an application deadline
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experience with methods of molecular biology and/or in the field of histology Experience in animal experimentation is an advantage Knowledge of statistical methods for data analysis Very good written and