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elements for in-materia computing, as part of a joint theoretical/experimental program carried out at AMOLF (Amsterdam) and TU/e (Eindhoven). Computing with artificial neurons takes inspiration from nature’s
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empirical sociology and complexity approaches Learn to integrate survey data, network analysis, and agent-based modeling Develop strong skills in data analysis, modeling, and social experiments Collaborate
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of Science and Engineering, a 4-year interdisciplinary PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. The candidate will become a member of
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of Science and Engineering, a 4-year interdisciplinary PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. The candidate will become a member of
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of Science and Engineering, a 4-year interdisciplinary PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. The candidate will become a member of
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Months: System-Level Analysis and Target Definition: Conduct an in-depth analysis of the overall system architecture and performance needs, translating these insights into specific requirements
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dimensions of media work. The ideal candidate also likes nature and enjoys outdoor activities. Additionally, if you are a nature lover, we have great news for you: In the final year of your PhD, you will
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research across a wide range of disciplines, from classical fields such as biology and mathematics to interdisciplinary areas like artificial intelligence, pharmacy, and nanoscience. The PhD position is
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Corentin Coulais, with the goal of developing artificial materials which combine microstructure and out-of-equilibrium processes to interact with their environment in a programmable fashion. The Learning
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essential to show willingness to look beyond disciplinary boundaries. The project is funded by the NXTGEN Biomed growth fund project on artificial organs. NXTGEN aims to develop and produce smart and