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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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. 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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Sitevision Minst tre års erfarenhet av Python och Django Minst tre års erfarenhet av versionshantering med Git och CI/CD (t. ex. GitHub Actions, GitLab CI/CD, Bitbucket Pipelines) Minst tre års erfarenhet av
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beräkningsmässig integration av spatial transkriptomik med bilddata eller kvantitativ bildanalys. Erfarenhet av programmering i R och/eller Python samt Bash och arbete i HPC-miljöer med arbetsflödeshanterare
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, DNA cloning), the candidate must have experience with transcription factors profiling and single-cell transcriptomics analyses, and computational skills (e.g., R and Python). Meritorious will be
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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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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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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