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Educational Master – and conducts research across a wide variety of domains in each of these fields. The faculty’s vision can be summarized as: “With trust, in connection, through continuous learning.” The FPPW
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manufacturing machines (looms, bobbinfeeders, ...) under dynamic conditions. Such simulations are very challenging due to the use of diverse materials (natural and synthetic fibers, yarns and fabrics) which
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Mattelaer, Christophe Ringeval). Research activities in include SM and BSM aspects of collider physics (LHC and future colliders, simulation tools, machine learning, effective field theories, amplitude
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in international research visits if needed. We are looking for a highly motivated researcher with: A PhD in machine learning, computer vision, remote sensing, glaciology, climate science, or a related
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, Electrical Engineering, Aerospace Engineering or a related field, with a focus on Robotic Perception and learning based methods Demonstrated expertise in at least one of the following areas: Machine Learning
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(1-2 courses per year). The applicant must have a PhD degree in a relevant subject. The PhD can be in Philosophy of Science, though applicants with a PhD in Biology or in Physics, but who have
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(ongoing PhD project). These pre-screened datasets will then be analyzed by various machine learning techniques (dimensionality reduction, unsupervised clustering, artificial neural networks, auto-encoders
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/knowledge of computer science and/or machine learning Interest/knowledge of omics data analysis, gene regulation or structural modeling Proficiency in programming languages such as Python, R and/or C++ as
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including the study of online control, motor adaptation, eye-hand coordination, decision-making, human-machine interaction, and other state-of-the-art paradigms used in current research in systems
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networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our