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and participating in scientific research (synthesis, analysis, physicochemical characterization of coordination compounds, measurement and analysis of vibrational spectra, preliminary molecular
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dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and passion for research in the field of sustainable
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the next generation of PV technologies for beyond 2030. The new postdoctoral research position will use materials modelling techniques (DFT, molecular dynamics, machine learning potentials) to investigate
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located on the CNRS campus in Marseille. They will be part of the Biophysics of Metalloproteins and Dynamic Systems team, which is particularly recognized for its work on metalloproteins using EPR
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system related to different replication stages of the HIV virus. Preference will be given to applications with expertise in 1) protein dynamics; 2) molecular dynamics simulations; and 3) high-performance
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the EPSRC. The project also involves groups at Bristol, Oxford, Newcastle, Leeds and Warwick and aims to develop computational methods to study photo-initiated molecular dynamics. The project also has a focus
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Molecular Medicine (IKOM)CountryNorwayCityTrondheimPostal Code7491StreetPrinsesse Kristinas gate 3Geofield Contact City Trondheim Website http://www.ntnu.no Street Prinsesse Kristinas gate 3 Postal Code 7491
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on biological processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic teaching and research environment that is internationally recognised for its excellence in
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computational biophysics Machine learning and data analysis for biological systems Biomedical imaging and signal processing Molecular modeling and simulations AI applications in bioinformatics or health sciences
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scientific fields: biochemistry, cellular and molecular biology, immunology, analytical chemistry, and a willingness to learn new things, as well as an open-minded and curious nature. 3. Experience in