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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic
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young, dynamic, and international team, led by Prof. Carole Linster. A main objective is to unravel how metabolic impairments are involved in rare and more common neurodegenerative or neurometabolic
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thermodynamics. • Investigate molecular recognition mechanisms, including lectin clustering and complex stoichiometry, supported by mass photometry and molecular dynamics simulations. • Integrate biophysical and
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network of universities and research centers around the continent to link real field issues with up-to-date science. The institute consists of a multidisciplinary team of agronomists, biochemists, molecular
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on the Denmark Hill campus at King’s College London, housing 150 clinicians and scientists from disciplines including neuroimaging, neurology, psychiatry, genetics, molecular, cellular biology and drug discovery
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generators, and molecular ferro- and piezoelectrics, as well as on fundamentals of charge transport and electronic processes in molecular semiconductors. Our research follows a holistic approach between
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advanced characterization methods of inorganic materials and their assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics
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will join a dynamic, interdisciplinary team exploring the frontiers of mass spectrometry imaging and molecular modelling. As our Research Fellow, you will lead the computational arm of a Leverhulme Trust
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accessible observables in attoscience. The postdoctoral researcher will carry out methodological developments and advanced numerical simulations to explore these ultrafast dynamics in exotic systems. -Develop
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into cellulose-solvent interactions and fiber formation. The candidate will develop models at different levels, including molecular dynamics, DFT, and mesoscale simulations. This multiscale approach will assist in