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Swedish life science research community, and participating in international collaborations. Within NBIS, you will be part of the BioImage Informatics team ( https://www.scilifelab.se/units/bioimage
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networks, as well as courses in Python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid academic background with thorough computational and
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, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see: https://www.scilifelab.se/data-driven/ddls-research-school/ The
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. Experience in computational integration of spatial transcriptomics with imaging data or quantitative image analysis. Experience programming in Python and Bash and working in HPC environments using
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programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are required. Excellent skills in spoken and written English are required. The candidate must clearly document a
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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open
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leave, duties in labour unions, etc. Documented experience in machine learning, in particular deep generative models and/or probabilistic modelling, and excellent programming skills in Python and a modern
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. Additional qualifications Relevant postdoctoral studies or equivalent industry experience are a strong merit but not a requirement. Programming knowledge in Python, and experience of data science
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Relevant postdoctoral studies or equivalent industry experience are a strong merit but not a requirement. Programming knowledge in Python, and experience of data science tools such as Numpy, Pandas
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(thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You will participate in designing the project according to the