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collaborators in computational biology, machine learning, and imaging-based profiling. The position involves leading independent research projects at the interface of machine learning and biology, with a strong
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services allowing integration of large language models, foundation models focused on life science data, and narrow models in complex research workflows (for example, through AI agent architectures
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university. More information about us, please visit: the Department of Biochemistry and Biophysics . Project description Project title: Perturbation-based Multi-omics Inference of Gene Regulatory Networks
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interdisciplinary environment. The research engineer will be based at SciLifeLab (Science for Life Laboratory) Stockholm & KTH, Department of Gene Technology, and will be supervised by Associate Professor Stefania
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. You would be welcomed in the the Yant Lab (https://www.yantlab.net/ ) Using large-scale graph-based pangenomics and forward evolutionary simulations, the student will develop predictive models
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, and ERC Consolidator grant (DETOXPEST) and aims to establish a public, cross-species “pan-terminome” knowledge base of plant proteoforms and to uncover how conserved proteolytic processing
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, the position is based at SciLifeLab, Sweden’s national hub for cutting-edge life science research. The National Facility for In Situ Sequencing (ISS), located at SciLifeLab in Solna, provides state-of-the-art
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and 8 500 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The position will be
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well as be technically responsible for the selection-based projects. Your tasks will be to develop expression and purification protocols for challenging target proteins in our drug discovery projects, as
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Familiarity with mass spectrometry-based proteomics After the qualification requirements, great emphasis will be placed on personal skills. Target degree: Doctoral degree Information regarding admission and