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-processing and modelling developed during the thesis will be combined with the development and use of a Digital Twin. This type of approach makes it possible to simulate a virtual replica of a given behaviour
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candidate will begin by developing the new algorithm in simulation, leveraging advanced computational tools to model and refine its performance. Following this, the candidate will validate the algorithm's
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approach must be combined with mechanistic models that describe the specific microstructure elements. A variety of inputs from both experimental work and simulations (i.e., first principle, atomistic, and/or
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• the numerical lattice simulations of the models in solid state physics • development of the existing C++ code library • applications of the above mentioned simulations to the description of the topological
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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pioneers research into new and improved ways of understanding and treating mental ill health ( http://www.kcl.ac.uk/ioppn/ ). The research role is based in the Psychology Department, one of the world’s
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contract model are those approved under the University of Coimbra's Research Grant Regulations. Where to apply Website https://apply.uc.pt/ Requirements Research FieldEngineering » OtherEducation
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science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 May 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time
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properties with three-body tight-binding model for the periodic table" https://journals.aps.org/prmaterials/abstract/10.1103/PhysRevMaterials.7.044603 2) "Magnon-phonon hybridization in 2D antiferromagnet
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 4 hours ago
settings Serving as a professional role model for students Assist with the coordination of clinical activities and student schedules Participate in departmental meetings, including faculty development