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Computing and Optimisation Group (PCOG) at SnT, headed by Dr. Grégoire Danoy. PCOG specializes in optimization techniques, with a focus on distributed computing and AI-driven solutions PCOG conducts research
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risk assessment and monitoring, and metabolomics, where particular attention is given to the development and optimization of (bio)analytical comprehensive workflows for polar metabolites and lipids. We
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in medical imaging of the brain and biomedical research in general. You have excellent programming skills (e.g. Python, MATLAB, …). You are skilled in mathematical optimization and preferably have
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Job description PhD - Researcher in the domain of Smart Warehouse Optimization The ISyE (Industrial Systems Engineering) research group is active in the domains of Smart Manufacturing Systems Design
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, sensing and optimization of the electromechanical aspects of industrial machines, with an emphasis on Industry 4.0 technologies such as machine vision, AI or digital twins. A digital twin can be defined as
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model of the ultrasound-sensitive hippocampal formation as environment. The candidate will develop surrogate models of the hippocampus to allow for more extensive optimization of the controller. Finally
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are emerging to process the vast amounts of data and provide the human decision maker insights into the data to make the optimal decision. One type of tools for decision making assistance is a recommender system
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-guided therapy provides a promising line of treatment for PXE and related EC disorders. First, we will optimize the detection of pathogenic variants that are missed by current screening approaches. We will
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radar-based sensing. You will develop adaptive algorithms that dynamically select the optimal radio configuration based on the specific requirements of each application. The radio platform supports a
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your knowledge and skills on state-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV containing one or more references