521 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "UNIV" positions in Belgium
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at unprecedented resolution. The core innovation of your work will be integrating this data to train deep learning models that predict chromatin accessibility and gene expression patterns. These models will
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of scientific publications and participation in international conferencesContribution to teaching activities and academic engagement For more information and details about proposed research topics, please contact
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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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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