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16 Apr 2024 Job Information Organisation/Company University of Oslo Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Country Norway Application Deadline 13 May 2024 - 23:00 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job...
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16 Apr 2024 Job Information Organisation/Company University of Oslo Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Country Norway Application Deadline 13 May 2024 - 23:00 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job...
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JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. 30th April 2024 Languages English English English Department of Philosophy, Classics, History of Art and
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to qualify researchers for work in higher academic positions within their disciplines. The suggested starting date is September 1st, 2024. Qualification requirements PhD or equivalent in philosophy
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. Qualification requirements Ph.D. in a relevant subject (such as medicine, philosophy, medical ethics, and health economics). Doctoral theses must be submitted for evaluation by the closing date. Appointment is
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for applicants who wish to obtain the degree of Philosophy Doctor (PhD). The position is affiliated with the Hydrogen, Fuel Cells and Clean Energy Storage Research Group, focused on the development of combined gas
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, and Computer Science, and from researchers and students from the departments of Mathematics, Informatics, Philosophy, and the Oslo Centre for Biostatistics and Epidemiology at UiO, and the Norwegian
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accounting for individual variability: aligning with the philosophy of data-driven precision medicine. However, for responsible and robust applications, the process of learning and classifying diabetes
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multi-omics data. This goal will help us understand, and potentially treat, diabetes progression accounting for individual variability: aligning with the philosophy of data-driven precision medicine
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accounting for individual variability: aligning with the philosophy of data-driven precision medicine. However, for responsible and robust applications, the process of learning and classifying diabetes