513 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "University of London" positions in Belgium
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research into the contribution of peak concentrations to total particulate matter exposure in residential settings. You will set up measurement campaigns and process existing measurement data in
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holography to ultra-wide-angle, ultra-high-resolution holography presents significant challenges. These include enormous data bandwidths, sophisticated optical control, advanced rendering pipelines, and new
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of the UNPACK team, you will be intensively working together in a team of 8 researchers and 4 professors. You will share your data and analyses with your co-researchers and supervisors, and engage in
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of climate variability and change on child health outcomes across Sub-Saharan Africa by combining epidemiological data analysis with advanced Earth system modelling. The research will involve running
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. The faculties have each developed a faculty regulation in which the financing possibilities of the Faculty Mobility and Sabbatical Fund are defined in detail. For more information, please visit your faculty's
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. The research aims to translate geometric design information into quantitative estimates of manufacturing effort and cost. Methods include Graph Neural Networks, geometric deep learning, and multi-view learning
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microscopy data analysis, chemometrics, and machine learning. This position is ideal for a researcher who enjoys working at the interface of imaging, data science, and environmental monitoring. The project
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governance of AI and data-driven systems. Artificial intelligence is increasingly used in domains such as policing, law enforcement and crime prevention. These applications raise profound legal, regulatory and
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fully funded PhD position in machine learning, AI, and data science for public health within the Electronics & Informatics Department (ETRO) of Vrije Universiteit Brussel (VUB). The PhD is embedded in
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intensively working together in a team of 8 researchers and 4 professors. You will share your data and analyses with your co-researchers and supervisors, and engage in extensive collaborative (interdisciplinary