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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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. The fellowship will focus on the damage evolution and formation of fractures in ice sheets. The successful applicant will be part of the research center PRECISE (PREdicting Changes in Ice Sheets on Earth) (https
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group is focused on developing new computational methods for the prediction of chemical reactivity. The group is a part of Department of Chemistry, Faculty of SCIENCE, University of Copenhagen. We
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candidate, who will contribute to the development and implementation of the theory, and to applications in secure compilation. Further details on the planned research are summarized in the technical part of
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. Research Objectives: To develop and validate consistent sampling, subsampling and sample pretreatment procedures. To develop and validate analytical workflows. The successful candidate will implement and
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tools from chemistry and biology, and apply these in studies of therapeutic peptides and proteins. Our aims are to develop modulators for protein-protein interactions (PPIs) and to provide molecular-level
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Job Description If you have a key research interest in development of mRNA vaccines for a clinical relevant purpose, then this might be the right PhD position for you. The aim of the PhD project is
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create a closed loop pipeline able to rapidly design binders to any target and optimized for developability. The program is rooted in DALSA (DTU’s Arena for Life Science Automation), a new
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. You must spend a minimum of 12 months in Beijing where you will be teaching and supervising in the Public Management and Social Development Program (alternatively the Management Innovation Program
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. Qualifications The successful candidate holds a Master of Science in Engineering Science, preferably focusing on Innovation and Product Development, with excellent CAD skills and can collaborate in cross