217 professor-computer-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions in Sweden
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of Excellence. The Department of Historical, Philosophical and Religious Studies invites applications for the doctoral training programme in Archaeology. The Department of Historical, Philosophical and
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, including the Teacher Education Programmes, the Sport Science Programme, the Human Resource Management Programme, the Behavioural Science Programme with a focus on IT environments, and the Police Education
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of Engineering Mechanics at KTH (project leader), Karlstad University, Lund University and the Swedish nuclear power industry. The research environment comprises four senior professors from the aforementioned
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research group is located in Malmö. More information about the group can be found here. The group is led by Associate Professor Malin Wennström. Within the group, we care about creating a positive
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, and how the applicant, through their experience and competence, is judged to have the ability needed to complete the doctoral program. About the position The position is aimed at a doctoral degree and
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mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full professors and almost 50 senior
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delivery. The postdoc will join Professor Nathaniel R. Street’s team at UPSC, working closely with Laszlo Bakó (molecular biology) and Torgeir R. Hvidsten (comparative genomics). The environment provides
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biomedicine, biomolecular technology, and biodiversity converge working synchronously under one roof. With one of the highest concentrations of bioinformaticians and computational biologists in Europe, Campus
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complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer
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with big datasets: towards methods yielding valid statistical conclusions” led by Professor Xavier de Luna and Tetiana Gorbach (Statistics). The overall purpose of the project is to develop novel methods