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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
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Immunology and Computational Biology Reference number: 2025-0104 We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study
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and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create
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, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS ) aims to recruit and train the
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and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 1 month ago
synthetic biology? The International Max Planck Research School for Living Matter: from molecules to dynamics (IMPRS-LM) is a joint PhD program between the Max Planck Institute of Molecular Physiology
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BSc and MSc students in the lab and develop teaching skills in our courses. Your qualities You hold an MSc degree in Plant Science, Molecular Biology or a related field. You have strong experience with
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structured career development and training. Access to cutting-edge core facilities in genomics, proteomics, imaging, and computational biology. Close supervision and mentorship to support scientific and career
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live in. Your role Conduct self-driven experimental research in the area of RAS cancer cell biology Participation in the doctoral programme, preparation of thesis and research articles Opportunity
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different disciplines across biology, chemistry, physics and informatics to advance cryo-(S)TEM methods 30 days of annual leave and provision for days off between public holidays and weekends (e.g. between