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along a Master’s degree in computational biology, bioinformatics, computer science, (bio)-statistics, mathematics, or related fields. The ideal candidate (m/f/d) will demonstrate a strong drive to excel
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Engineering » Other Language sciences » Linguistics Mathematics » Mathematical analysis Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 20 Jun 2024
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Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE) | Bonn, Nordrhein Westfalen | Germany | 18 days ago
-dimensional data. Your qualifications We are looking for a highly motivated candidate with a degree in a mathematical or computational field (e.g. mathematics or computer science). A strong academic background
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computer science, business informatics, media informatics, mathematics, applied mathematics, statistics, or a related field. Also, students from other fields with a sufficient skillset in computational
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is expected An excellent mathematical background and experience in software development is required Experience in developing and applying statistical and/or machine learning-based computational methods
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PhD position in Statistical Physics or Computational Neuroscience on Curiosity [C3] (all genders welcome) At the University of Göttingen -Public Law Foundation-, Graduiertenkolleg 2906 Neugier
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foundation model, Run case studies and statistical evaluations of hydrological downscaling and improve the downscaling model based on these results, Perform general research into the application of advanced
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mathematics or a closely related field is required. Experience with some of the following topics will strengthen your application: statistical physics; critical phenomena; interacting point and particle
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Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ | Potsdam, Brandenburg | Germany | 3 months ago
to improve the current monitor capabilities of the global ocean circulation. The candidate will help to overcome fundamental problems of Earth observation inversion by using statistical and numerical modelling
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with a master’s degree in mathematics. A strong background in the theory and numerics of partial differential equations and a very good background in optimization and/or stochastic analysis is required