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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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multidisciplinary environment, the candidate will work on the development of novel methods for analysis of state-of-the-art spatially resolved data. The candidate will explore the landscape of explainable machine
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for a doctoral candidate with the following qualifications: Master's degree in meteorology, physics, mathematics, computer science or an equivalent scientific or mathematical discipline Very good
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) development of medical devices. The EKFZ relies on a close interdisciplinary collaboration between the University Medical Center Göttingen, the faculties of Physics, Mathematics, and Biology of the University
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Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE) | Bonn, Nordrhein Westfalen | Germany | 15 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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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
to protect humans and the environment from hazards caused by pollutants resulting from technical processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a
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18 Apr 2024 Job Information Organisation/Company University of Goettingen Research Field Biological sciences Chemistry Physics Mathematics Researcher Profile First Stage Researcher (R1) Country
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, contributing to research that is valued in the real world, within an environment that fosters innovation. What awaits you? Conduct creative and independent research focused on leveraging Generative AI
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candidates who wish to pursue their PhD training in an interdisciplinary environment. Successful applicants should hold a Master's degree in the natural sciences or mathematics with very good grades, be fluent