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allocation proposals, conducting machine learning workflows, and developing complete models. Example applications include microscopy image data, cryo-electron microscopy, structural prediction and dynamic
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. The role includes administering Linux-based servers and clusters, automating workflows, and assisting users in a dynamic research environment. As a key infrastructure person, you will play a central role in
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lab (marklundlab.com ), we investigate how sequence information in biological macromolecules governs recognition, binding, and dynamical structure. We combine high-throughput measurements of molecular
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at SciLifeLab. You will work in a team with researchers, data engineers, data stewards and system developers in a rapidly growing, dynamic and progressive team with a leading role in Swedish data-driven life
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on understanding the role of protein dynamics in this process. Main responsibilities You will work together with structural biologists and computational chemists, primarily carrying out molecular simulations
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individual salary setting. Start date is as soon as possible. We offer With us, you will experience the dynamic interaction between higher education and research that makes Stockholm University an exciting and
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wants to work in a dynamic environment close to both laboratory and clinical practice. You will be a key member of a multidisciplinary team, working closely with physicians, molecular biologists
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universities. As part of the Department of Medical Biochemistry and Biophysics, CFG offers a collaborative, dynamic, and friendly work environment housed in one of Europe’s most modern research buildings. You
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Biology Consortium Sweden, CRISPR Functional Genomics and Chemical Proteomics offer a collaborative, dynamic, and friendly work environment. You will be based at SciLifeLab Campus Solna, which together
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colleagues along with a creative, international and dynamic working environment An opportunity to work on datasets from multimodal spatial methods within cutting edge research To be part of SciLifeLab research