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, Cold Atom Physics , Cold Atoms and Molecules , Cold QCD Group , collider physics , Collinear Fast Beam Laser Spectroscopy , Complex Quantum Systems , Computational Materials Sciences , Computational
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, United Kingdom Supervisor: Dr. Ivana Savic Focus: computational materials modelling Background: physics, computational materials science. or a closely related discipline Apply: https://mgician.eu/research/doctoral
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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4 Apr 2026 Job Information Organisation/Company CNRS Department Institut Charles Gerhardt Montpellier Research Field Chemistry Physics » Chemical physics Physics » Biophysics Researcher Profile
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Dipartimento di ingegneria industriale - Università degli Studi di Padova | Italy | about 12 hours ago
The research program is framed within the circular economy and aims to develop innovative models for the sustainable management of industrial and healthcare plastic waste, transforming critical residues
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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, Chemistry , Coherent Phenomena , Cold Atom Physics , Cold Atoms and Molecules , Cold QCD Group , collider physics , Collinear Fast Beam Laser Spectroscopy , Complex Quantum Systems , Computational Materials
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-scale computational studies. The postdoc will also interact closely with a PhD student working on the behavior of liquids confined by such 2D materials—connecting the research to broader questions in
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Laboratoire Interdisciplinaire des Energies de Demain - Université Paris Cité | Paris 15, le de France | France | 3 days ago
. Chem. Theory Comput. 2020, 16 (11), 7017–7032 https://doi.org/10.1021/acs.jctc.0c00762 . (b) Villegas, O.; Serrano Martínez, M.; Le Bras, L.; Ottochian, A.; Pineau, N.; Perrier, A.; Lemarchand, C
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comprehensive approach based on a unique multidisciplinary methodology, bringing together researchers in biology, chemistry, physics, computer science, as well as the humanities and social sciences. The LIED