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experience with Linux, Git, high-performance computing environments, and scripting in Python and/or R Experience processing sequencing data, in particular microbiome (16S or shotgun metagenomic) data
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and rigorously evaluating new machine-learning methods. • Excellent Python programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research
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with spatial transcriptomics is a strong plus. Excellent scripting and data analysis skills in R and/or Python, with in-depth knowledge of relevant Bioconductor/scverse packages. Strong experience with
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. • Excellent Python programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research codebases. A strong track record in machine learning or closely
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, mathematics, physics, engineering, computational biology or a related quantitative field ● Hands-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together
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qualifications with a university degree (Master or equivalent) in physics, engineering or computer science Proficiency in computer vision and machine learning with Python Knowledge of X-ray physics and laboratory
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, geophysics, physics or a closely related field, completed by the start date Strong scientific programming in Python, and comfortable working with version control (git) in a collaborative codebase Fluent
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, protein purification, and/or machine learning is a clear plus. • Experience in data analysis and coding (preferably Python) • A systematic, independent working style and ability to work in a collaborative
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, or layered materials, as well as Python programming (or similar) is a plus. Most importantly, an applicant should be driven by curiosity and should be motivated to work through a difficult long-term (4 years
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of experience working as a test/software engineer, or equivalent experience Comfortable writing code and building automated test frameworks (preferred languages: C#, Python, C, Rust) Knowledge of IEC 62304