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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 3 days ago
structured around the recruitment of approximately 15 researchers (PhD students, postdoctoral researchers, and engineers), working in close interaction with specialists in physical oceanography, marine
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Modelling the Dynamic Development of Expertise: Integrating Practice, Ability, and Individual Differences School of Psychology PhD Research Project Self Funded Dr Nemanja Vaci, Prof M Bilalic
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Eberhard Karls University Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 12 hours ago
(MSCA) Doctoral Network Project Title/Acronym: VISI-ON-BRAIN (https://cordis.europa.eu/project/id/101227124 ) Project Reference: 101227124 Position Overview One PhD position is available in the ‘Glial
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, structure and dynamics, with the aim of understanding biological systems and processes at the molecular level. The emphasis is on experimental and theoretical studies of the physical properties of proteins in
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behaviour of structures and systems, contribute to our courses in Dynamics, and build a strong research and education team within an internationally oriented academic environment. Job description As a Full
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collaborative project bringing together UCCS, LASIRE, IRCELYON, and Synchrotron SOLEIL. This PhD project, based at the University of Lille within the UCCS laboratory, focuses on the dynamic behavior
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spectroscopy will provide insights into protonation states and structural dynamics. Where to apply E-mail hellwig@unistra.fr Requirements Research FieldChemistry » Physical chemistryEducation LevelMaster Degree
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structure of protons and nuclei. In the limit of high energies of the collision (small Bjorken-x), it allows us to the phenomenon called parton saturation, where the structure of proton is given as dynamical
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highly active field of research, renowned for its complexity and the rich physical phenomena it reveals. Coupling these nonlinear dynamics with a lattice structure, where light can tunnel between sites
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] : elles capturent efficacement la structure topologique, mais n'exploitent pas nativement les mécanismes d'apprentissage de coût de chemin propres au Q routing [7] pour environnements non stationnaires [8