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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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of electronic Hamiltonians. The postdoctoral researcher will develop graph neural networks based on the MACE architecture to predict Hamiltonian elements for 2D materials and van der Waals heterostructures, with
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: Education: ·PhD in chemistry, biochemistry. Master in similar fields will be positivitely valorated. Knowledge and experience: ·Background in biosensor devices and clinical applications ·Knowledge in
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. Requirements: Minimum: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related field. Demonstrated experience implementing heuristic/metaheuristic optimisation (e.g
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environments, enabling the observation of materials under conditions that mimic actual operating environments. Working closely with partners in the NEXPECH₂ project, you will analyze their materials and provide
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Devices and Environment. Specifically, one of our main research lines is the design and fabrication of bioinspired materials for their application in tissue regeenration, brain diseases and environment
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-Efficient Devices and Environment. Specifically, one of our main research lines is the design and fabrication of bioinspired materials for their application in tissue regeenration, brain diseases and
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papers. Requirements: Education: PhD in Physics or related degree Knowledge: Complex oxides (Ferroelectrics, antiferroelectric, nickelates, etc), nanomechanics, photovoltaics, scanning force microscopy
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. Preparation of scientific manuscripts and presentations in workshops or conferences to showcase your research results to the scientific community. Skills on proposal writing. Requirements: PhD degree in
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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