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students, and administrative staff. Research and education at the department occurs in an international environment and is focused on animal biology. Outstanding and high impact research is conducted in a
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contribute new and better ways to analyse and interpret large-scale data. In your position, you will develop computational methods for cryo-EM reconstruction, heterogeneity analysis, and modeling of structural
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group is part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), which aims to recruit and train the next-generation of data-driven life scientists and to create
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principles. Candidates are expected to develop their own research profile while contributing to Sweden’s growing ecosystem in data-driven life science. Application deadline: 31 March 2026 Expected start date
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, clinicians, or industry partners. Experience in supervising or co‑supervising students, teaching, or mentoring. A strong publication record in relevant journals or conferences in ML, bioinformatics, or related
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, entrepreneurship and leadership training, to develop expertise to address related challenges. Technology and methodology skills: Research methodology and technology training, according to an individually designed
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) at Karolinska Institutet conducts research and teaching within immunology, infection biology, cell biology and cancer. MTC has about 40 research groups and our key words are multidisciplinary, bridging, national
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SciLifeLab Drug Discovery and Development. The department is also responsible for several student courses and offers high-quality education at both undergraduate and advanced levels. Approximately 35 people
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information about us, please visit: www.dbb.su.se . Project description The candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study
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environment for research and teaching. Research at IMBIM) broadly spans the areas of biochemistry, cell and molecular biology, tumour biology, comparative genetics, functional genomics, immunology, bacteriology