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. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop machine learning surrogates of wind energy systems. As newer
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to neurodegenerative diseases of the central and peripheral nervous system, with an emphasis on understanding the genetic etiology and developing diagnostics and treatment methods for these diseases. Approaches range
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development and maturation involves capacitation to achieve fertility potential, and the acrosome reaction to achieve fertilisation. Although alterations in membrane fluidity and the onset of the acrosome
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writing skills. The capacity to work effectively in an international team. We offer Mentoring and support for professional and personal development; opportunity to work with members with diverse backgrounds
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offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. For the Forest & Nature Lab at the Faculty
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in a full-time program of research consistent with the objectives of Tour de Cure, leading to the awarding of a PhD or equivalent research doctorate. Applicants must be current holders of a PhD
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offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. For the Training and Research Institute
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techniques) at UGent combined with machine learning, deep learning and data fusion modelling to enable development of novel decision support systems for variable rate fertilization and manure application. He
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offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. For the Forest & Nature Lab at the Faculty
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, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325