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in structured research documentation Strong ability to work collaboratively Curiosity and commitment Merits: Previous scientific publication in a peer-reviewed journal within the field of pancreatic
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intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for
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. Position description Construction industry is one of the biggest contributors to waste and carbon emission and this sector is at a crossroads. Unless major changes, the industry risks failing to meet the
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global
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activities are focused on the modelling of the mechanics of structures, components, and processes along with involved materials, thereby providing mechanics-based solutions and virtual solution tools to our
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. The project involves close collaboration with other researchers in the group, as well as cooperation with leading scientists in virology, structural biology, and biochemistry. This project is part of a larger
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spectroscopies, as well as molecular biology for introducing site specific alterations. Atomic level structural insight will be obtained via single particle analysis cryo-EM and snapshot serial crystallography
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conducts research in diverse areas, including urban and regional economics, public economics and macroeconomics. A structured PhD curriculum featuring mandatory and elective courses. The doctoral education
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spectrum, in topics in virology and immunology, and currently specializes in computational biology focusing on developing methods and applications of deep learning for protein sequence and structure, as