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advanced wet-lab experience in molecular biology and in reverse genetic approaches. • You are familiar with FAIR data handling and in silico data analysis. • You work precisely and reliable. YOU FIT TO US
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certificates and diplomas, and (preferentially) contact information for two references Short description of your research interests and your motivation for the application PhD thesis and publications Application
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habits and duration of grazing under contrasting soil and environmental conditions. You will collaborate with data scientists to integrate empirical and novel evidence to improve the understanding
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and satellite-based remote sensing data using High-Performance Computing at LRZ Publication of the results in scientific journals Assistance in teaching REQUIREMENTS: An above-average degree in
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, and high-performance computing. It aims to improve the performance of the matrix-free finite-element-based framework HyTeG, in particular by techniques for data reduction through surrogate operators
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contrasting soil and environmental conditions. You will collaborate with data scientists to integrate empirical and novel evidence to improve the understanding of functioning of tropical and subtropical
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06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation
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: ▪ Curriculum vitae, copies of relevant certificates and diplomas, contact information for two references ▪ Short description of your research interests and your motivation for the application ▪ Master or
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December 18, 2022 to bewerbungen.gcfe@mgt.tum.de. For further information about this position please contact Ms. Lena Vorsatz (lena.vorsatz@tum.de). As an equal opportunity employer, TUM explicitly
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of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal