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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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optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: Own the optimiser: design, implement, and tune heuristic/metaheuristic algorithms (e.g
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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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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
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materials data bases together with novel AI tools. Requirements: Education: · Undergraduate in Physics, Chemistry, Materials Science, or related disciplines. · PhD in Physics, Materials Science, Chemistry
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of PhD students. Requirements: PhD Degree in Organic Chemistry (essential requirement; no CV will be evaluated without this requirement.) Knowledge and Professional Experience: Organic Chemistry is an
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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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internal reports and manuscripts. Requirements: Minimum (required) PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge molecular dynamics