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multi-omics machine learning and computational cancer biology Share: Facebook Twitter LinkedIn Email Application deadline November 15, 2026 SciLifeLab / Careers / Postdoc in multi-omics machine
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) will work at the interface of structural bioinformatics, machine learning, and membrane biology, in close collaboration with experimental groups in membrane biology and structural biology. The Elofsson
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Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would you like to work together with
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solid experience in machine learning (including deep learning), ideally in the context of computer vision and, more broadly, a proven track record in scientific programming (GitHub Repository or
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Read more and apply SciLifeLab / Careers / PhD student in Machine Learning with a focus on mathematical and statistical methods for uncertainty quantification Uppsala University, Department of
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analyses and statistical and machine-learning based modeling, as well as gaining a deeper understanding in extracellular vesicle biology. Work duties and responsibilities The main task for a doctoral
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workday might involve writing and running code to process sequencing data on a computer server, applying statistical models and machine learning algorithms, and performing downstream data analysis
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Python and/or R. Experience in deep learning, machine learning, or large-scale omics data analysis. A high level of self-motivation and independence, good problem-solving skills, and the ability to
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analyses and statistical and machine-learning based modeling, as well as gaining a deeper understanding in extracellular vesicle biology. Work duties and responsibilities The main task for a doctoral
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involve writing and running code to process sequencing data on a computer server, applying statistical models and machine learning algorithms, and performing downstream data analysis, including