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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 9 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 | 2 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