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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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-cell transcriptomics analyses, and computational skills (e.g., R and Python). Meritorious will be considered experience in Microscopy-based imaging, Immunohistochemistry, and cell culture
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. Erfarenhet av programmering i R och/eller Python samt Bash och arbete i HPC-miljöer med arbetsflödeshanterare såsom Snakemake eller Nextflow. Erfarenhet av analys av encellsgenomiska data från pankreas
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experience with Unix command-line interface (CLI) and Bash coding as well as skills in another programming language such as Python or R for analysis and visualization of single-cell RNA sequencing is a
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quantitative image analysis. Experience programming in Python and Bash and working in HPC environments using workflow managers such as Snakemake or Nextflow. Experience in the analysis of pancreatic islet or
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deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are
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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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generative models and/or probabilistic modelling, and excellent programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are required. Excellent skills in spoken and