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and machine learning to sequences and molecules. This can be a program in bioinformatics, computational biology, machine learning, molecular biotechnology, computational chemistry, molecular physics
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new methods. Good computer skills. Additional qualifications for the position are: Documented theoretical or practical experience in structural biology and/or mass spectrometry. Experience of project
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located at the Uppsala Biomedical Centre campus. It belongs to the Faculty of Science and Technology and conducts research in biochemistry, organic chemistry, analytical chemistry, and physical chemistry
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interdisciplinary backgrounds and expertise to foster cutting-edge research with high clinical relevance. Project Description Imaging methods such as magnetic resonance imaging (MRI), computed tomography (CT), and
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development of phylogenetic methods. The EvonetsLab is supported by a Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven
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like computational complexity of algorithms. It’s also fairly common that we need to drill down into the code for some tool to figure out what’s wrong, so being able to read and understand code is
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for Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several education programmes, including
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The Department of Chemistry, with more than 200 employees, is one of the largest departments at Stockholm University. The Research spans all areas of chemistry such as analytical chemistry, physical
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KTH Royal Institute of Technology, School of Engineering Sciences Project description Third-cycle subject: Biological Physics We are looking for a doctoral student to a multidisciplinary and
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science. We are looking for a candidate with a PhD in either engineering/computer science/physics/mathematics. Experience with ML implementation (ideally interpretable ML and/or generative AI) is required