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to revolutionize early intervention by leveraging digital phenotypes (DPs) - unbiased, continuous data streams from daily smartphone use, social media, and music listening. Despite the promise of DPs in predicting
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PhD position in Mass Spectrometry-Based Antibody Analysis Faculty: Faculty of Science Department: Department of Pharmaceutical Sciences Hours per week: 36 to 40 Application deadline: 1 December
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literature review on flares and prodromal symptoms; (2) Complete analysis of survey data from >3000 patients to investigate patterns and progressions of flare symptoms; (3) Co-design (with patients and
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database of available stone raw materials in the region; raw material analysis (using selected analytical methods) of stone artefacts, including quartzite, found at the studied sites; provenance analysis
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storage systems, such as adsorption chillers and thermochemical heat storage units Structure–property–performance relationships governing gas uptake, heat storage capacity, and cycling stability
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in AlSi10Mg based on microstructural characterizations. The project is part of a Villum Investigator grant titled “Microstructural engineering of additive manufactured metals - MicroAM” funded by
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PhD Scholarship This project will study mental health outcomes of sexual violence for the LGBTQ+ community. The research will involve quantitative analysis of data from up to seven different
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performance under environmental stress. Training in geospatial analysis and ecological modelling will enable predictive insight into urban ecosystem dynamics. You will develop expertise in stakeholder
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individualized diagnosis and prognosis. As part of the ENSEMBLE Project—a multinational study funded by the Fondation Paralysie Cérébrale—you will help develop a machine learning-based multimodal prediction tool
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of methodologies for analysis and visualization of time-dependent data. Research and development of methodologies for analysis and processing of geometry data, e.g., technical plans or 2D/3D CAD objects. Evaluation