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PhD Position in Music Computing Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 31 March 2026 Apply now
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Application deadline: 23 March 2026 Apply now Are you interested in developing and applying integrative methodologies that combine exposome, multi-omics, and brain–body health data to advance our understanding
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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epidemiology. We are keen for this PhD project to be student-led and shaped and driven by the successful candidate’s research interests and skills. Techniques to be used: Epidemiology Statistics and data
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are typically superior to self-report measures in terms of data accuracy and resolution. For this reason, wearables are being used increasingly in physical activity–related research, but their use in
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the challenge of forever chemicals in drinking water. The aim of this research is to develop a smart data predictive model that will support utilities’ evidence-based decision-making to improve the resilience and
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semesters (6 years), with programme starts each autumn and spring semester. More information about the programme can be found on the faculty web site - Doctoral studies at the Faculty of Medicine . About the
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attachments. Main tasks Conduct field experiments and collect data Perform various analyses of collected data, data from former experiments under controlled conditions or in the field, molecular genotyping data
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displacement. Responsibilities Perform original and independent research on earth surface deformation assessment in Texas, the surrounding area of Texas, and elsewhere. Be involved in analyzing data collected
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of postdivorce family diversity and gender. Your job The project utilizes (i) panel data ‘New Families in the Netherlands’, (ii) administrative data, and (iii) newly collected qualitative data. The project will