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position in probabilistic methods for foundation and world models Uppsala university Share: Facebook Twitter LinkedIn Email Application deadline October 15, 2026 Read more and apply SciLifeLab / Careers
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in Machine Learning with a focus on mathematical and statistical methods for uncertainty quantification Uppsala university Share: Facebook Twitter LinkedIn Email Application deadline October 16, 2026
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activities in areas such as numerical analysis, mathematical modelling, development and analysis of algorithms, machine learning, optimization, scientific software development and high-performance computing
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are important to understand the computational methods. Extensive (3+ years) experience of applying and/or developing advanced digital image analysis methods in the field of bioimage analysis is a
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looking for a researcher to join our team and contribute to advancing our understanding of genome evolution and variation. The successful candidate will develop innovative methods and models to advance
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develop experimental and computational methods to identify molecular mechanisms leading to dysfunctional cellular states in human disease ( www.camunaslab.org ). The candidate will contribute to the
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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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computational methods to identify molecular mechanisms leading to dysfunctional cellular states in human disease ( www.camunaslab.org ). The project will require significant interdisciplinary work in
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extensive training and resources in computational science, including high-performance computing (HPC) clusters. For more information about the DDLS program, see here. The employment In connection with
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integrative multi-omics data, such as genomics, proteomics, or metabolomics. Experience with relevant machine-learning frameworks, such as PyTorch, and high-performance computing (HPC) environments