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of immunology, microbiology, virology, cell biology and molecular biology. For more information, please see https://www.mhh.de/hbrs/zib MD/PhD Molecular Medicine:The program aims to form a bridge between Science
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of the doctoral candidates. This programme addresses not only successful mediation processes but also and especially the interferences and competitive relationships, the crises and the failures as well as those
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important - Prior experience with density functional theory or machine learning is desirable - Proficiency in the Python programming language is important, as well as Fortran - Strong written and oral
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electrical or mechanical engineering Strong mathematical skills Experience in modelling energy systems Very good knowledge and experience in programming (e.g. Python, Matlab, C, C++) Fluent in written and
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in a state-of-the art, international research environment with excellent technical facilities Structured training within the LIV Graduate School, an interdisciplinary PhD program for all doctoral
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electronics in an ecologically, economically, and socially sustainable manner. In a range of research and academic programs, REC² unites the natural and engineering sciences with the humanities, social sciences
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Call for applications We are pleased to announce the call for
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students. Programme duration 6 semesters Beginning Winter semester Application deadline 15 July Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree
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. Programme duration 7 semesters Beginning Only for doctoral programmes: any time Application deadline Please see https://flores.unu.edu/en/education/phd-programme for current information. Tuition fees per
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills