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motivated to do PhD research in mathematical machine learning, with special emphasis on mathematical foundations for explainable AI? If yes, the Korteweg-de Vries Institute for Mathematics at the University
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Are you highly motivated to do PhD research in mathematical machine learning, with special emphasis on mathematical foundations for explainable AI? If yes, the Korteweg-de Vries Institute
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Universiteit van Amsterdam, Korteweg - de Vries Institute for Mathematics Position ID: 1729-PHD [#27043] Position Title: Position Location: Amsterdam, Noord-Holland 1091, Netherlands (Kingdom
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Infrastructure? No Offer Description Are you fascinated by using mathematics to solve fundamental questions in ecology? Do you thrive on translating abstract models into biological insight? If so, this PhD
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Your job Are you fascinated by using mathematics to solve fundamental questions in ecology? Do you thrive on translating abstract models into biological insight? If so, this PhD opportunity could be
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For more information about the position, please contact Prof. dr Liesje Mommer, via +31 6 20921336 or email: Liesje.Mommer@wur.nl . Questions about the procedure? Get in touch with Jessa Rozema, Corporate Recruiter, via jessa.rozema-stol@wur.nl Ready to apply? Click on the application button...
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The PhD project is part of the Dutch national consortium on “Emergence at all Scales” (EAAS), which is the national flag-carrier of the NWA route 2 game changer Dutch Institute for Emergent
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mathematical control theory, and a keen interest in machine learning to apply for the PhD position within the Dynamics and Control section at the Department of Mechanical Engineering, Eindhoven University
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The Mathematical Institute is looking for a PhD candidate to join the project Patterns in Random Media under the supervision of Hermen Jan Hupkes PhD: Patterns in systems with noisy coefficients
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Apply now The Mathematical Institute is looking for a PhD candidate to join the project Patterns in Random Media under the supervision of Hermen Jan Hupkes PhD: Patterns in systems with noisy