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around the central theme of probabilistic methods for foundation models and world models: making them uncertainty-aware, calibrated, robust and useful for scientific decision-making, by tackling
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for understanding their reliability and for making informed decisions based on their predictions. This project aims to develop new methods for uncertainty quantification in mathematical and statistical models
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, spans the breadth of computing disciplines. Our internationally visible research, strong industry links and diverse environment create a collaborative setting where ideas grow into real impact. At
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University. The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University’s third largest department, have around 350
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and hardware design, and biophysical modeling. We do not expect applicants to arrive with expertise in all of these. What matters most is a demonstrated ability to learn new methods, a willingness to
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to supervise the doctoral student. Decisions are made on admission. Admission requirements To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have
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Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Expertise of large scale data handling Experience
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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epidemiology, statistics, bioinformatics, and cancer biology. We have both “dry lab” and “wet lab” components. Currently the group consists of 1 associate senior lecturer, 1 postdoctoral researcher, 1
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no later than the time the employment decision is made. Here you fill in additional requirements for the position, in case of any language requirements, justification is required. Contact HR if you have any