439 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions in Belgium
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Science and Technology Country Belgium City Louvain-la-Neuve Postal Code 1348 Street Croix du Sud 4 Where to apply E-mail henri.batoko@uclouvain.be Contact City Louvain-la-Neuve Website https://uclouvain.be
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simulations, machine-learned force fields, and artificial intelligence (AI). The successful candidate will lead the development of a computational platform that unifies first-principles methods, classical
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engineering Engineering » Computer engineering Engineering » Control engineering Engineering » Materials engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline
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). The position is available upon agreement. For further information visit https://brunnerlab.sites.vib.b... and contact Prof. Janine Brunner (janine.brunner@vub.be).
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information, please contact Prof. Ruth Heying, tel.: +3216340638, mail: ruth.heying@uzleuven.be or Prof. Sarah Thomis, mail: sarah.thomis@uzleuven.be Where to apply Website https://www.kuleuven.be/personeel
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: You will teach courses in the BSc and MSc programmes in geography and will also offer courses for other programmes in the faculty that require GIS skills (e.g. MSc Oceans & Lakes, MSc Biology, MSc Urban
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machine learning You have good programming skills in Matlab, Python You have proven your proficiency in English language equivalent to B2 level You are enthusiastic and result oriented You can work
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application by email, but apply online. Do you have a question regarding the online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https
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publications and present them at well-known international conferences and workshops. Your profile M.Sc./M.Eng. Degree in telecommunication engineering, signal processing, machine learning or a closely related
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-Development-Innovation is looking for a PhD-student with a doctoral grant. We invite applicants for a fully funded PhD position in machine learning, AI, and data science for public health within the Electronics