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areas of nanoscience and nanotechnology. Job title: Postodoctoral Researcher Position in (Scanning) Transmission Electron Microscopy of Catalytic Materials for Green Hydrogen and Energy Applications
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of Group/Project: We are building an optimisation-driven framework that makes AI models reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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project around the development of AI models for predicting promising catalyst candidates to integrate molecular modelling techniques, experimental data bases and materials data bases together with novel AI
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. Applicants are invited to propose a research project around the development of AI models for predicting promising catalyst candidates to integrate molecular modelling techniques, experimental data bases and
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of research protocols, SOPs and related documentation · Be responsible for the recording, documentation and reporting of all preclinical models used by the Nanomedicine Lab · Perform cross-faculty collaborative
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. Integration & automation: connect the optimiser to existing simulation pipelines (DFT → TB/Wannier → transport), ensure provenance and reproducibility, and scale runs on Linux/HPC. Benchmarking & ablations: set
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optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: AI4LSQUANT aims to accelerate quantum modelling by learning fast, accurate surrogates
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/scalable processes. These excellent features turn bioinspired catechol-based materials unique for their use in coatings applications. Our society must change the water usage model, ensuring its purity
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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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of electrocaloric and pyroelectricity in ferro- and antifferroelectric oxide membranes. Requirements: Education: PhD in Physics Knowledge: Phase transitions. Ferroelectrics. Oxides. Nanocalorimetry: Heat capacity