104 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at KU LEUVEN
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the domain of Professional Training & Development & Lifelong Learning at O2L, we are looking for a PhD candidate with an interest in adult education and lifelong learning. Specifically, you will contribute
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please contact Prof. dr. Maxi Udenio Castro, mail: maxi.udenio@kuleuven.be or Prof. dr. Jannik Matuschke, mail: jannik.matuschke@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel
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Monteagudo, mail: silvia.monteagudo@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60650420?hl=en Requirements Research FieldMedical sciencesEducation LevelMaster Degree
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affected by warping, addressing both audio analysis and synthesis tasks. The methodological scope spans stochastic signal processing and machine learning, including hybrid physics‑guided and data‑driven
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. For more information please contact Prof. dr. Liesbet De Baets, mail: liesbet.debaets@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60651356?hl=en Requirements Research
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required for teaching courses in Dutch. The candidate:•should have a broad background that allows them to teach in domains such as social psychology, cultural psychology, and/or intergroup relations.•should
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postdoctoral researchers at a high international level. •Aims to acquire competitive research funding from national and/or international agencies and submits effective research project proposals for this purpose
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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
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Leuven will provide language training to enable you to take part in administrative meetings. Before teaching courses in Dutch of English, you will be given the opportunity to learn Dutch resp. English to
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, Mechanical), Computer Science, Applied Math/Statistics, Physics—or related. Candidates who will graduate in the near future are also welcome to apply. Strong foundation in machine learning/deep learning and