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Details Title Pre-Doctoral Fellowship (Prof Breza and Viviano) School Faculty of Arts and Sciences Department/Area Position Description The fellow will work on projects for both Breza and Viviano
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at the Department). The PhD-project will be connected to the research group of Prof. Nathalie Reuter at the Department of Chemistry and the Computational Biology Unit , in collaboration with Prof. Odd André Karlsen
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 8 hours ago
Prof. Ronald Pelot, Prof. Floris Goerlandt and Prof. Hamid Afshari in the Maritime Risk and Safety (MARS) Research Group at Dalhousie University, in further collaboration with professors from Dalhousie’s
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) proficiency in programming languages such as Python and C++; (c) demonstrated ability to conduct independent research and contribute to collaborative projects; and (d) excellent problem-solving skills and
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(IRT) models in small samples. The ideal candidate has prior knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant
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of Bergen (Profs. Ritske Huismans and Rob Gawthorpe), University of Manchester (Prof. Cathy Hollis), University of Oslo (Prof. Jan Inge Faleide) and Imperial College (Prof. Chris Jackson). About the project
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under the project Principal Investigator (PI), CRiHSP Director, Prof Jose M Valderas. The role provides a rare opportunity to work at the centre of this rapidly evolving field, shaping the future
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. Collaboration and Research Environment The postdoctoral researcher will join the research group of Associate Prof. Dominik Roeser at UBC and will collaborate with a multidisciplinary team. The research group
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, model and simulate physical processes, and engage in productive discussions with theoretical quantum physicists. Demonstrated programming skills for data acquisition and processing, e.g., Python, Matlab
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., exact diagonalization, Krylov subspace methods, quantum Monte-Carlo, tensor network methods. Demonstrated programming skills using relevant languages, e.g., C/C++, Python, Matlab, Julia, and familiarity