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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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, programmering och biologi krävs. Den sökande behöver dokumenterad erfarenhet av att arbeta med encelliga och/eller spatial transkriptomikdata. Kandidaten måste ha goda kunskaper i R- eller Python-programmering
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storskalig datahantering, samt webbapplikationer för forskargrupper och andra samhällsaktörer. Mer information om NBIS finns på https://nbis.se . Arbetsuppgifter Hos oss kommer du att arbeta med agil
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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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. 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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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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following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale omics data analysis. A
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, chemistry, or equivalent. Wet lab experience preferably in molecular biology techniques (e.g. PCR, nucleic acid handling). Experience in computational data analysis (for example in Python). Ability to work