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science, AI, or related field, from a reputable institute, with outstanding study results, Programming experience in Python, particular experience in common deep learning frameworks (e.g., PyTorch and
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collaborations and participate at international conferences. Eligibility criteria You have a MSc degree in electrical engineering from a reputable institute with a solid background in modelling harmonic resonances
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and Life Institute, Louvain-la-Neuve, Belgium; Net monthly salary of about 2400 €, depending on personal situation. This includes social insurance. Transportation to and from the workplace is covered
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on one of the following aspects in a dissertation that is expected to be published as a monograph after completion: (a) Liturgical Use of 1 Corinthians The PhD candidate will establish the evidence of 1
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interdisciplinary team (Vandermosten – Gillebert – Francart), with an extensive international network Membership of the Leuven Brain Institute at the KU Leuven, one of the largest research universities of Europe
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] The application deadline is 15 April 2024, but earlier applications are encouraged and will be considered as soon as they are received. The position can be closed earlier in case a suitable candidate has been found
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candidate has been found. You can apply for this job no later than 15/04/2024 via the online application tool Work Location(s) Number of offers available1Company/InstituteKU LeuvenCountryBelgiumState
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suitable candidate is found Eligibility criteria A master’s degree in computer science, artificial intelligence, engineering, or related disciplines Solid background in machine learning or deep learning
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, computer science, or numerical mathematics, preferably from a reputable institute from a country within the European Economic Area. You have obtained excellent study results. You are communicative and
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bridges the Institute of Astronomy (IoA) and the Centre of mathematical Plasma Astrophysics (CmPA) of KU Leuven in Belgium and aims to develop 3D models of evolving close binaries and star-planet systems