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candidate will carry out duties to the highest standard and will: Undertake original research of international excellence. Develop research objectives and proposals for own and/or collaborative research
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, position, scale, orientation) and their relation to behavioral performance. Track representational reorganization during learning of new objects through chronic multi-area recordings. Develop and apply
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standards. About the research project The postdoctoral project will focus on precision tests of low-energy strong interactions via the ab initio modeling of open-shell, nuclear many-body systems and Bayesian
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equipment. You will join an international multidisciplinary team. You will apply simulation, multi-objective optimization, and data-driven analytics to evaluate and compare material intralogistics handling
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: proficiency in Monte Carlo simulation codes, such as GEANT 4 or PENELOPE. Bayesian statistics. • Laser polarisation system: appetite for experimental physics, experience with lasers not required but would be a
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project is to develop scalable and privacy-preserving Bayesian computational algorithms. The position is intended for two to three years, with an initial one-year appointment renewable contingent upon
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, 2022) and extended this to the triple equivalence between neural dynamics, Bayesian inference, and algorithmic computation (Commun Phys, 2025). -We validated it within in vitro neural networks (Nature
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Professor Divi Cornec (head of the institute). Candidate profile and skills Applicants must hold a PhD with a solid background and a proven track record in bioinformatics and immunology. They should have
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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. This position is part of a project aimed at evaluating the integration of native vegetation beneath photovoltaic installations in semi-arid post-mine environments. The objectives include soil stabilization, dust