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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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reactor physics (neutronics, etc.) - Be proficient in using Monte Carlo-type neutronics codes - Be able to work in a team within the context of varied collaborations - Be experienced in software development
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period of up to 12 months in the first instance, with the possibility of an extension, subject to funding. The project entails the development of a kinetic Monte Carlo (KMC) framework for the simulation
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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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skills 6. Competence in spoken and written English 7. Ability to work in a team Desirable criteria 1. Numerical skills, such as: Monte Carlo methods, Density Matrix Renormalisation Group
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English Ability to work in a team Desirable criteria Numerical skills, such as: Monte Carlo methods, Density Matrix Renormalisation Group or Truncated Conformal Space Approach Knowledge of quantum field
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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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, renormalization group techniques or Monte-Carlo methods. Investigating topological properties of magnetic quantum states such as fractional quasiparticle excitations in spin liquids. Transferring the obtained
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qualifications PhD or equivalent in Nuclear Engineering, Physics, Chemistry, Materials Science or related disciplines Demonstrated proficiency with computational modeling, e.g., DFT simulations, Monte Carlo