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or October 2026. Tuition fees per semester in EUR None Combined Master's degree / PhD programme Yes Joint degree / double degree programme No Description/content The Berlin Mathematical School (BMS) is the
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very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organised in
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
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internationally. • Participate in the Faculty of Science PhD training program. • Participate in the department’s educational programs, assisting in teaching and supervision of undergraduate or Master students
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence (RAI) (www.ltu.se/robotics ) subject at the department of Computer Science and Electrical and Space
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obtained an MSc or similar in data science, computer science, physics, applied mathematics, oceanography, meteorology, or a similar field. The applicant must satisfy the requirements for admission to the PhD
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | about 2 hours ago
defined four main research areas as the following: Environment and Sustainability Neurosensory Science and Systems Medicine, Health and Life Sciences Chemical, Physical, Mathematical and Computational
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We are seeking an outstanding candidate for a PhD fellowship in the field of computational fluid and solid mechanics. The fellowship will start on September 1st, 2025, or as soon as possible after
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Claremont Graduate University, Institute of Mathematical Sciences Position ID: 2718 -RAP1 [#25524] Position Title: Position Type: Postdoctoral Position Location: Claremont, California 91711
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the interface between different scientific disciplines including ecology, evolutionary biology, mathematics and statistics, informatics, economics and social sciences. We aim to apply advanced statistical and