509 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "Univ" "UNIV" positions in Belgium
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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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, 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 conduct in-depth
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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 conduct in-depth
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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 conduct in-depth
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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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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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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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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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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