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of computational approaches to large scale simulations Basic knowledge of (geo)chemical processes and machine learning will be of advantage Expertise in Machine Learning approaches, ideally beyond neural networks
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questions in contemporary Evo-Devo. You will collaborate with an international team of experimental and computational biologists to explore the evolution of craniofacial development. The challenge The body
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in interdisciplinary networks alike. The BMC of the LMU is located on the Martinsried Campus (one of the best scientific locations in Germany) and offers an ideal research infrastructure. Off campus
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Description The Graduate School Practices of Literature (GSPoL) invites international candidates to apply for its three-year PhD programme, offering up to two scholarships starting on April 1, 2026
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and international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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innovative qualification program, tailored to the scientific and methodological spectrum of the research projects, supports RTG trainees in their individual academic career development. The University Medical
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Description KIT Graduate School Computational and Data Science (KCDS) is a graduate school at KIT Center MathSEE that offers an interdisciplinary training program for doctoral researchers in
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available in the further tabs (e.g. “Application requirements”). Programme Description In line with its statutes, the Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation) supports
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and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image