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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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: 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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/Project: We are building an optimisation-driven framework that (i) makes AI agents reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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/Project: We are building an optimisation-driven framework that (i) makes AI agents reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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the research group of Minoru Otani at the University of Tsukuba. The work will be based on the Effective Screening Medium (ESM), a method and software (https://sugino.issp.u-tokyo.ac.jp/esm/) for the study of