169 linked-data-"https:"-"https:"-"https:"-"Embry-Riddle-Aeronautical-University" positions in Belgium
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, the project combines: Quantitative analysis of eviction court data; Qualitative interviews and ethnographic fieldwork with institutional actors and residents at risk of eviction. You will play a central and
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of 12.000 euro. The bench fee remains available to the research network for the duration of the collaboration and the two subsequent years. More information Contact Team Flemish, Federal & BOF Projects
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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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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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. 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