12 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Leiden-University" positions at Vrije Universiteit Brussel
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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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on major third-party platforms introduces new dependencies in content dissemination and raises challenges related to data management and protection, editorial autonomy, and the preservation of cultural
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-transferable practices; Skills, staff, and role transformations required to integrate data-driven, automated, and platform-supported production and distribution processes; Benchmarking exercises across Public
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— are mandated to provide universal and equitable access to information, yet substantial groups remain rarely or never reached. Vulnerable and underserved audiences — including individuals with low literacy, low
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with another PhD student at UCLouvain. The PhD candidate will carry out academic research in the fields of urban mobility and foresight. In particular, he/she will: collect and analyze qualitative data
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clinical outcome data, exposome research provides a holistic framework for identifying preventable risk factors and guiding targeted public health interventions. This scientific approach underpins both
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generation of spectroscopic sensors, integrating spectroscopic analysis, machine learning-based data processing, miniaturized sensor development, and industrial validation. As a Technology Expert, you will
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between environmental and socioeconomic exposures and acute coronary syndrome (ACS) in Belgium. It combines national hospital admission data (2012–2021) with high-resolution environmental modelling
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-of-view with depth information. The Department of Electronics and Informatics (ETRO ), an imec research group at the Vrije Universiteit Brussel (VUB ), has an open research position for a talented and
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on specific tasks within the ERC project, such as qualitative data collection, analysis, and integration of findings. You will support the Principal Investigator (PI) and actively participate in