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advancing precision cancer medicine! Our lab is pioneering deep learning models of the molecular networks within cells, aiming to enhance treatment efficacy and contribute with new discoveries in cancer
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molecular mechanisms related to health and the environment. Examples of thematic research areas that are currently being processed within SciLifeLab are clinical genomics/proteomics, cancer genome and the
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scientific fields and a multitude of educations ranked highly in international comparison. Recent breakthroughs at Umeå University include deciphering the molecular mechanisms of the bacterial CRISPR-Cas9
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of Prof. Lars G.M. Pettersson on aspects of modeling of water. These include all or a selection of molecular dynamics and Monte Carlo simulations, advanced quantum chemical x-ray spectroscopy calculations
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dynamics of these fascinating proteins by experimental biochemical, biophysical or structural methods (mutagenesis, spectroscopy, proteoliposome experiments, cryoEM) or computational multiscale simulations
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dynamics of these fascinating proteins by experimental biochemical, biophysical or structural methods (mutagenesis, spectroscopy, proteoliposome experiments, cryoEM) or computational multiscale simulations
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use of machine learning for data analysis, mathematical modelling, statistics and computational simulation of molecular biological data. The subject specifically aims to develop and apply machine
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of four years of full-time doctoral education is required. The research group The Högberg group is part of Molecular Systems Bioengineering at the department of Medical Biochemistry and Biophysics
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dynamics simulations, simulations of vibrational properties, spectroscopy and dynamical diffraction effects will be considered as an extra merit. The application should include a statement of research
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advertised this year. The group interacts with the other research groups in the Unit of Endocrinology, including sharing lab space and lab meetings creating a dynamic and diverse research space that fosters