142 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Ghent University in Belgium
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read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2025/researcher-diagnostische… Requirements Research FieldBiological
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about this vacancy, please contact Prof. Kim Van Tittelboom (kim.vantittelboom@ugent.be , +32(0)9/264 55 40). Where to apply Website https://academicpositions.com/ad/ghent-university/2025/doctoral-fellow
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online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2025/post-doctoral-researcher… Requirements
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https://academicpositions.com/ad/ghent-university/2025/postdoctoral-researcher-… Requirements Research FieldAgricultural sciencesYears of Research Experience4 - 10 Research FieldComputer scienceYears
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research in preparation of a doctoral dissertation. This concerns socio-economic research on agricultural and environmental policy analysis (for relevant research domains, see https://agecon.ugent.be/home
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and supervise educational and research projects and to acquire the necessary funding for this; you are didactically skilled to teach university students to develop academic competences; international
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and practical experience with modeling and machine learning software NONMEM, Monolix, Simcyp, PK-Sim, Gastroplus, R and/or Python is a plus You have excellent teaching and communication skills Any
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question regarding the online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2025/assistant
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to the development of models for electrical machines for sustainability. This project aims at developing smart parameterized multiphysics models for the electric machines. As a PhD student, you will contribute
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, machine learning) for energy applications, mostly focusing on reinforcement learning (RL), where you will consider innovative extensions (e.g., new neural network architectures) of state-of-the-art