473 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions in Belgium
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, including the selection and application of scale-up modelling approaches (e.g. process simulation, expert interviews, and the integration of scale and learning effects) for the identified scenarios
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recruited on the project. Full information on the two positions is available at https://jobs.ethz.ch/job/view/JOPG_ethz_yFljDVyQe8rGR1wwVL . The first doctoral candidate will work at ETH Zurich. The present
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(https://jobs.vib.be/j/132378/laboratory-technician-neuroprotein-engineering ) and include a detailed CV including list of publications, a motivation letter, and the contact information of at least two
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player and great collaborator Strong interest in interdisciplinary work at the interface between neurodegeneration, modeling, screening and machine learning Prior experience in iPSC modelling and CRISPR
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machine learning. This encompasses application domains such as industrial inspection, (ultra) high-definition video enhancement, smart multi-camera networks, computer vision, sensor fusion, and (medical
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application form can be downloaded from the University of Namur website (https://www.unamur.be/en/university/work/forms ). The filled out form (in PDF format) should be returned before 30/04/2026 by e-mail to
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of thermal energy and (hybrid) machine learning in which physics-based models are combined with data-driven techniques. Thermal cycles make it possible to meet the demand for heating, cooling, and electricity
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Economics » Transport economics Economics » Valuation Economics » Veterinary economics Educational sciences » Education Educational sciences » Learning studies Educational sciences » Research methodology
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in daily research. The successful candidate: has knowledge in general wet lab practice (e.g. tissue processing, DNA/RNA processing, molecular biology) and willingness to learn new techniques and
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processing, or networking (preferred). You have strong background in machine learning or deep learning (experience with deep learning frameworks such PyTorch and TensorFlow is a plus). You have solid