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of Group/Project: We are building an optimisation-driven framework that makes AI models reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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Calculations will be valued but it is not essential. · Previous knowledge of Density Functional Theory (DFT) and experience with DFT codes will be very highly valued. · Knowledge of chemical reactions and how
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Computing. · Experience with High Throughput Calculations will be valued but it is not essential. · Previous knowledge of Density Functional Theory (DFT) and experience with DFT codes will be very highly
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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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to developing an HR Strategy for Researchers, designed to bring the practices and procedures in line with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment
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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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(DFT) packages and in-house quantum transport codes. Fully converged simulations from established databases will serve as ground-truth benchmarks. In parallel, the same optimisation principles will be
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Finesse, SIS, and others; knowledge of commercial codes like Zemax are a plus. Experience with electronics or hardware development, or commissioning of gravitational-wave detectors, is desirable. Good
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The successful candidate is expected to have: PhD Physics Internationally recognized experience on research using the LIGO-Virgo data Experience developing pipelines and code for gravitational-wave searches and/or
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. - A concise benchmark report (figures/tables + short narrative). - Clean code repository with a minimal example. Summary of conditions: Part-time work Contract Length: 6 months Location: Bellaterra