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available in the further tabs (e.g. “Application requirements”). Programme Description The Munich Aerospace e.V. Bavarian Research Network was initiated in 2010 to combine key expertise in the field
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funded by the German Federal Ministry of Research, Technology, and Space (BMFTR) under the topic focus “Deep geothermal energy ” within the program “Geoscience for Sustainability (GEO: N) ”. The aim
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Modern doctoral education with a structured course programme and skills courses in teaching, academic writing, and presenting Guaranteed funding for the duration of the programme Stimulating research
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, environmental sciences, or a related discipline, is required. Basic knowledge and interest in atmospheric physics Skills in model & satellite data analysis is desired Fundamental programming skills and expertise
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Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc. or Diploma in bioinformatics or a comparable qualification Extensive programming
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 3 months ago
Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Degree PhD, Dr rer pol Course location Jena Teaching language English Languages English Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 3 months ago
Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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meteorology, physics, geosciences or related field excellent programming skills (preferably in FORTRAN or Python) interest in interdisciplinary climate and coastal research We offer you an exciting and varied
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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