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approach that includes cross-section calculations, the development of Monte Carlo codes, and the advancement of the NanOx model for biological dose prediction. As part of a collaboration with the University
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Monte Carlo and X-propagator techniques. The application must include: proof of the required qualifications (copy of PhD diploma or certificate), a motivation letter outlining scientific interests and
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collaboration, dedicated to the direct detection of dark matter. They will contribute to various activities including data taking, data analysis, and Monte Carlo simulations. The candidate will be involved in
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– Carlos Alberto e Silva Venâncio, Assistant Professor at the University of Trás-os-Montes and Alto Douro; Effective Member – Paulo José Pinto Rema, Associate Professor with aggregation from the University
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graduate and undergraduate students. Job Requirements REQUIRED: PhD in plasma physics, high energy physics, nuclear engineering, or a closely related field; experience with Monte Carlo charged particle
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Monte Carlo methods, analysis and interpretation of data to validate theoretical models, manuscript development, and communication of research at relevant scientific meetings. The successful candidate
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will be supervised by Dr. Ning Wang. The successful candidate will be responsible for AI-driven materials discovery. Candidates with background in molecular modeling (molecular dynamics or Monte Carlo
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the University of Trás-os-Montes and Alto Douro Effective Member - José Carlos Esteves Gomes Laranjo, Associate Professor with Habilitation from the University of Trás-os-Montes and Alto Douro Effective Member
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experimental high energy particle or nuclear physics, 3) very good knowledge of C++ and Python programming languages and the ROOT data analysis framework, 4) the ability to use Monte Carlo generators
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of the Monte Carlo simulations required to generate the training datasets. At LOA, the candidate will have access to appropriate research infrastructure. This position falls within the scope of the Protection