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Field
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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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, 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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: 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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. 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
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objectives from assessment of the literature, the design/analysis of experiments, and the drafting of scientific publications. E8. Established publication track record in a relevant field of research
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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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, 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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department's objectives. PRIMARY JOB RESPONSIBILITIES Conducting research on the epidemiology of suicide/self-harm and related mental health issues. Contributing to the development and implementation of suicide
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investigating the regulation of human tissue resident T cells (Trm). Applicants must have a PhD or have submitted their PhD thesis by the start of appointment, and a track record of success in immunology, and/or
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | 19 days ago
dynamics in health and pathology; (2) in silico models, including Bayesian models, neural mass models and spiking neural networks; (3) in vitro neuronal network measurements. Our aim is to innovate in