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into real impact. At the division of Data Science and AI , we develop data-driven methods and AI solutions that support intelligent decisions across society, advancing machine learning techniques, from
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integrates neuroimaging, sleep measurement, digital phenotyping, electronic health record (EHR) data, and deep clinical phenotyping to identify predictors of symptom trajectories and functional outcomes in
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28 Jun 2026 Job Information Organisation/Company Wageningen University & Research Research Field Political sciences » Governance Political sciences » Public policy Sociology » Social changes
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for analysis of health record data for patient diagnosis and outcome prediction. Perform large-scale querying and analysis of clinical health record databases. Engage with clinical collaborators, to place the
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. Specific Qualifications for Project E To qualify for the fellowship, the candidate should hold a PhD in a relevant field such as statistics, data science, computational biology, physics, or a related
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societal challenges. Our department is an exciting workplace with research in a broad technology-related area, from basic research to large-scale applied research, and with close contact with students
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large datasets, including sequencing and ‘omics data Proven publication record Excellent written and oral communication skills Motivated self-starter with the ability to work independently and to
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upload them on the application under the CV/Resume section. Additional Information: This position is time-limited and contingent on continued funding associated with CITE's sponsored research activities
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Sheet darkening, and relate them to ice melt at large spatial scales using remote sensing. The postdoc in this project will be the main responsible for the acquisition of data related to snow and ice
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Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteUniversity of Agder (UiA