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: Design, implementation and testing of new methods and algorithms so that SIESTA can harness the compute power of the latest generation of (pre-)exascale architectures and tackle novel scientific challenges
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. Practical experience in working in R&D projects with companies. Strong Python stack; good software practices (git, testing). Comfortable with Linux/HPC environments. Preferred (nice to have) Experience with
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querying. Software Engineering & MLOps: Proficiency in Python and commitment to good software practices (version control, reproducible code, and CI/CD). You will be responsible for maintaining a "Black Box
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initiative where appropriate, and be proactive in approach to work Desirable Knowledge, Skills and Experience: · Experience with cryo-electron and confocal microscopy. · Experience with Image analysis software