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Field
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crystal / thin film scattering measurements, exploiting developments in artificial intelligence and machine learning. We also invite candidates with interests in beamline automation and autonomy
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completed) in Natural Language Processing or a closely related area. Solid knowledge of machine learning, especially deep learning. Experience in model development and/or fine-tuning. A practical mindset
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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interdisciplinary research team consisting of professors, researchers, engineers, and PhD candidates. It will be primarily affiliated with the Section for Genetics, Evolution and Sustainable Plant Production
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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(but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing Programming
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continue until the position is filled. Education Requirement: PhD degree in Human Physiology, Rehabilitation Science, Kinesiology, Psychology, Biomedical Engineering, Electrical Engineering, or related field
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datasets with multi-omics profiles of tumors from previous studies Developing new machine learning models through collaboration with the Swiss Data Science Centre Establishing data analysis pipelines
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. The candidates are expected to work in a highly collaborative environment with other lab members and industry collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer
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; For this function, our Brussels Humanities, Sciences & Engineering Campus (Elsene) will serve as your home base. 3 - Profile What do we expect from you? You hold a PhD in machine learning, artificial intelligence