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approaches, where data storage and processing occur simultaneously at the materials level, inspired by the operation of the brain. This includes research on unconventional computing paradigms, such as
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of high-performance materials for green hydrogen production and energy storage. · Perform detailed STEM analyses on project-related materials provided by IMPRESS partners, contributing directly to the
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of high-performance materials for green hydrogen production and energy storage. · Perform detailed STEM analyses on project-related materials provided by NEXPECH₂ partners, contributing directly to the
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with high temporal and spatial resolution and broad wavelength tunability. Our aim is to gain an increased understanding of the ultrafast microscopic processes related to heat and charge, and exploit
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, Computer Science, or related disciplines. Knowledge and Professional Experience: · Knowledge of programming languages used in data analysis (particularly python) is strongly recommended. · High Performance
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for the analysis of physicochemical, morphological and/or thermal properties after LNs fabrication will be performed. The Postdoctoral Researcher will also be using routinely in vitro techniques that can be applied
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valued but it is not essential. Familiarity with revision control software. High Performance Computing. Experience with High Throughput Calculations will be valued but it is not essential. Previous
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collaboration of 14 European research institutions and is funded (https://cordis.europa.eu/project/id/101136269) by the European High Performance Computing Joint Undertaking as part of the Horizon Europe program