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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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and functionalization of nanoparticles and extensive knowledge of physicochemical characterisation techniques. Essential Education and Professional Qualifications: · PhD in chemistry, materials science
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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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institution and they are allocated through recurrent internal calls). Preparation of scientific reports, journal articles and software documentation. Requirements: PhD in Physics, Materials Science, Chemistry
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conferences, and in outreach activities within the project. Supervision of PhD students. Requirements: PhD Degree in Organic Chemistry (essential requirement; no CV will be evaluated without this requirement
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tools. Requirements: Education: · Undergraduate in Physics, Chemistry, Materials Science, or related disciplines. · PhD in Physics, Materials Science, Chemistry, Computer Science, or related disciplines
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of electrocaloric and pyroelectricity in ferro- and antifferroelectric oxide membranes. Requirements: Education: PhD in Physics Knowledge: Phase transitions. Ferroelectrics. Oxides. Nanocalorimetry: Heat capacity