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MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical inventory, a major incentive for the project is the application and
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. Competence in computer-aided methods for data analysis and modelling, e.g. with Python, advanced MS Excel Sheets, Aspen or multiphysics simulation tools. Excellent cooperation and communication skills complete
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2025 Apply now This PhD position is available in Prof. Janneke Jehee's lab at the Donders Institute for Brain, Cognition and Behaviour. You will work on studies of visual perception and decision-making
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in applying causal estimation methods in healthcare. You will have the opportunity to work on a range of projects within your PhD including a collaborative initiative funded by the Innovative Health
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estimated to have hearing loss, including over half of the population aged 55 or more. Hearing aids are the most common intervention for hearing loss, however, one in five people who should wear hearing aids
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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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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for improved cancer understanding, diagnostics, and
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to the conformational behaviour of biomolecules which can only be successfully tackled by employing a variety of different theoretical methods. In this respect, this joint graduate college brings together the expertise
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complex operational environments. Focus will be given to methods that can derive useful engineering information for the continuously updated digital twins using mechanical response data and environmental
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression