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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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the research group of Minoru Otani at the University of Tsukuba. The work will be based on the Effective Screening Medium (ESM), a method and software (https://sugino.issp.u-tokyo.ac.jp/esm/) for the study of
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students and other researchers on in-situ (S)TEM. Requirements: · Education: PhD in Chemistry, Physics or Material Science, or closely related fields, with a strong focus on nanomaterials and advanced
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Biosensors carries out research on the integration of nanotechnology methods, tools and materials into low cost, user friendly and efficient sensors and biosensors. The main objective of Merkoçi group is to
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Biosensors carries out research on the integration of nanotechnology methods, tools and materials into low cost, user friendly and efficient sensors and biosensors. The main objective of Merkoçi group is to
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/Project: This project builds an optimisation-driven framework to make large language models (LLMs) operate advanced scientific software reliably and efficiently. We will explore heuristic optimisation
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., random sampling). Implement and compare basic acquisition strategies (e.g., uncertainty sampling, simple committee methods). Define and track metrics (accuracy, label efficiency, convergence speed, runtime
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and 2D materials, and oxides. Fabrication of functionalized Pb-free MHPs by solution processing methods. Fabrication of complete Pb-free MHPs solar cells and memristors (TFTs). Stability analysis
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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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Experience: Chemical synthesis by CVD and hydrothermal methods, microscopy and spectroscopic techniques · Personal Competences: We are looking for a highly motivated person, enthusiastic