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samples, lack of training data and sample variability. In this project we aim to develop AI/ML workflows for improved quantitative analysis of LNPs. Your responsibilities will include optimisation of data
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research group funded by the Data-driven Life Science Fellows (DDLS) program. Led by Wei Ouyang, the group builds next-generation AI systems for cell and molecular biology. Data-driven Life Science Fellows
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KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Job description Alpha Cell is a new SciLifeLab program aimed at building the first molecular
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Do you want to contribute to improving human health? Description of the research group Alpha Cell is a new SciLifeLab strategic program aimed at building the first molecular-level computational
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study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The Department of Microbiology, Tumor and Cell Biology (MTC) at Karolinska Institutet conducts
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different professional and cultural backgrounds. The doctoral project aims to develop next generation minimally invasive sampling technologies for neuro biomarkers. The work includes developing the technical
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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 globally leading computational and data
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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 globally
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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previous studies and future goals. (Maximum 2 pages long) Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text