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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 1 day ago
The PhD students will engage in theoretical and/or computational research in Nonequilibrium Statistical Physics and Active Matter, under the supervision of Ramin Golestanian. For more information concerning
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, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost
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%) in Mathematics for the project “Quantized vortices and nonlinear waves” The CRC has been funded by the German Research Foundation (DFG) since 2015. Its goal is to analytically understand, numerically
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supervision collaboration in national or international research projects (optional) Requirements: university degree in Computer Science, Computational Linguistics, Mathematics or a related field solid knowledge
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within a multi-disciplinary research environment organized within a structured PhD program that enables to complete a doctoral thesis within three years. Topics: Researchers of several disciplines
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the Faculty of Science and Engineering, a 4-year PhD position is available to start as soon as possible at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence with the topic
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need to contact the project supervisor to discuss. Online applications are made via the 'Apply' button above. Please select Engineering Mathematics* on the Programme Choice page. You will be prompted
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to start as soon as possible at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence with the topic of responsible human-AI collaboration. The successful candidate will
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tools and concepts. Supervise student projects and BSc/MSc theses. Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field. Strong
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scholarship is suitable for students with a background in Engineering, Mathematics, and Computer Science. Students with interests in machine learning, deep learning, AI, intelligent decision making