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are currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning. In particular, we develop machine learning methods to derive
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quantitative approaches towards data science, including relevant developments in the field of geospatial data processing, photogrammetry, computer vision, and big data/machine learning. You have knowledge
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3 Jun 2024 Job Information Organisation/Company Université de Namur Department Physics department: Research unit for analysis by nuclear reactions (LARN) Research Field Computer science » Modelling
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Description We are looking for several highly motivated PhD and/or postdoc candidates with a background in photonics and an interest in machine learning or in combinatorial optimisation, for several research
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will have obtained (close to the starting date) a PhD in Machine Learning, Data Mining, Computer Science, Information Systems Engineering, Informatics, Statistics, or a related discipline with a focus on
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Machine Learning Data science and information theory Network science and multi-agent systems Context: UCLouvain is a comprehensive university offering the opportunity of conducting cross-disciplinary
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. Teach possibly 1 course of up to 6 ECTS. Assist in the guidance of 2-3 PhD candidates on a similar topic. Lead or support grant writing for additional (postdoc) funding proposals. Supervise 4-6 MSc
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. MICROLAB has a floorspace of 550 m², of which 300 m² will be equipped with the most advanced machines for every essential production step in microfabrication. µFlow Cell is now looking for a postdoctoral
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data processing, photogrammetry, computer vision, and big data/machine learning. You have knowledge of fundamental principles, algorithms of computer vision, and machine learning methods. You have
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variables available across the DRC territory. Various methodologies will be considered like, for instance, machine learning approaches such as boosted regression trees. Once the predictive models will be