19 structures "https:" "https:" "https:" "https:" "https:" "https:" "Ruhr Universität Bochum •" positions at ICN2
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well as regional efforts such as the Quantum Catalan Academy (https://cataloniaquantum.eu/ ) and the Master in Quantum Science and Technology (https://quantummasterbarcelona.eu/ ). These initiatives contribute to a
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at the 'Group of Smart Nanoengineered Materials, Nanomechanics and Nanomagnetism -Gnm3' (https://jsort-icrea.uab.cat/) of the Universitat Autònoma de Barcelona (UAB). The position is in the framework
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broad experience in the development of electronic structure methods and their application in order to perform atomistic simulations of molecules and materials. These include (but are not restricted
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Simulation Group at ICN2 conducts cutting-edge research in computational materials science, focusing on electronic structure methods, atomistic simulations, and multiscale modelling. The group develops and
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structural complexity. The group systematically integrates Safe-and-Sustainable-by-Design (SSbD) and green chemistry principles from the earliest stages of materials development, ensuring responsible
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electrochemistry, ferroelectricity and magnetism; magneto-ionics in patterned structures and thin films; atomic force microscopy (including magnetic force microscopy, piezo-response force microscopy, Kelvin probe
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the structure and behavior of catalytic nanomaterials critical for green hydrogen and energy technologies. The candidate will design and perform real-time in-situ TEM experiments using gas and liquid sample
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this position, you will apply advanced electron microscopy techniques, including STEM to investigate the structure and behaviour of catalytic nanomaterials critical for green hydrogen and energy technologies
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heuristic optimisation to explore and improve materials candidates-especially 2D/vdW structures-for target electronic/spintronic properties. The postdoctoral researcher will lead the development of databases
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nanomaterials via wet-chemistry routes, achieving precise control over size, morphology, composition, and structural complexity. Within the framework of the M2S project (ML + MD Optimization of Synthesis Routes