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for finalists. Candidates should submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations
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, hepatologists, and data scientists. The candidate should demonstrate technical experimental excellence as well as the capacity to lead the research team regarding research projects aimed at producing clinically
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data
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of SGLT2 inhibitors using mice models of kidney diseases. Contributing to the development of uremic toxin measurements in mice and human. Collaborating with faculty and staff on research design, data
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to submit the names and contact information for at least two (or up to three) references. We encourage candidates to apply by March 2, 2026, but will continue to review applications for up to 30 days from
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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organisations to plan and undertake qualitative fieldwork to understand perspectives of groups experiencing digital inequalities. You will coordinate evaluation activities, lead data collection and data analysis
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environments — from clinics to classrooms — jointly shape developmental outcomes, using Norway’s exceptional registry and cohort data to study why diagnoses are rising, who receives assessment and support, which
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) to provide benchmark data as well as the quantum technology gravity gradient sensor. This involves close liaison with colleagues across campus, especially as part of QuSIT, partner institutions, project
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sustained research trajectory in addiction health services research and policy evaluation. Responsibilities Design and execute advanced quantitative analyses using large secondary administrative health data