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computer-aided methods e.g. for data analysis Excellent cooperation and communication skills complete your profile; proficiency in English is essential Our Offer: We work on the very latest issues
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. Your tasks identify relevant satellite datasets of irrigated areas, as well as of hydrometeorological, land surface and vegetation variables apply modern statistical methods on these datasets to detect
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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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however require a significant measurement effort to be estimated, especially in the high-precision regime relevant for fault-tolerant quantum computing. You will investigate recent advances in
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. Strong interest in advanced neurofunctional assessments and methods (e.g., computer vision, bioacoustics, machine learning/AI, neuroimaging, eye-tracking, multimodal data fusion) and/ or willingness
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, material science and ultrafast X-ray science. What these data challenges have in common is that they cannot be addressed with standard computational methods but rather require modern data science and
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, integrated English language courses No Tuition fees per semester in EUR None Semester contribution Approx. 150 EUR per semester Costs of living In Munich, the living expenses are estimated to range from approx
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Graduates of the Graduate School for Geoinformatics will apply and develop methods for computer-supported solutions to spatially referenced problems (global, regional, local). They receive specialised
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training in genome science, have access to the methods and approaches required to tackle their specific research questions, and familiarise themselves with the interdisciplinary approach of modern genome
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to the conformational behaviour of biomolecules which can only be successfully tackled by employing a variety of different theoretical methods. In this respect, this joint graduate college brings together the expertise