53 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" PhD positions at KU LEUVEN
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@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60623481?hl=en Requirements Research FieldJuridical sciencesEducation LevelMaster Degree or equivalent
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breakthroughs in proof logging, where solvers do not just output an answer, but also a machine-verifiable proof (or certificate) of correctness. However, a major limitation of current techniques is that
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. Russell Friedman (russell.friedman@kuleuven.be ) Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60632449?hl=en Requirements Research FieldPhilosophyEducation LevelMaster Degree
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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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research team. You are resilient under pressure and eager to learn. You have an excellent command of English, with a preference for candidates that also can speak and write in Dutch. Knowledge of additional
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: inge.vanhulle@kuleuven.be or Prof. dr. Wouter Druwé, mail: wouter.druwe@kuleuven.be .In case of problems with the online application, please contact solliciteren@kuleuven.be . Where to apply Website https
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are eager to learn new techniques or methods · You work independently and accurately · You have demonstrated verbal and written communication skills in English · You are
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manipulation of fear and reward learning. This position is part of a recently funded, large-scale and innovative research program, aimed at creating new treatments for negative symptoms, among the most
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manipulation of fear and reward learning. This position is part of a recently funded, large-scale and innovative research program, aimed at creating new treatments for negative symptoms, among the most
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within a Research Infrastructure? No Offer Description Our society relies on machines and engines, and so does life itself. Molecular motors are found throughout biological systems, where their intricate