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Field
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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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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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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | 26 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
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. Assist the Principal Investigator in designing and performing protocols. Design and perform experiments. Collect and log research data. Participate in implementing research objectives, ensuring compliance
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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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School of Mathematics and Statistics is seeking to recruit a post-doctoral researcher with experience in statistical modelling, Bayesian methods and related computational skills. This is a temporary, 21
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genome editing. Background in cardiovascular physiology or heart failure mechanisms. Proven track record of productivity (first-author publications); strong scientific writing skills to apply for funding
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’ Digital Spaces (MIGDIS), a multidisciplinary initiative exploring technology-assisted analysis of home, border, and belonging, while also contributing to Insight research objectives in privacy/security
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Google Earth Engin, R, Python, and STAN (e.g., deep learning, Bayesian regression models, spatial analyses), and running analyses on a high-performance computing cluster. Demonstrated record of publishing
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applications. The project aims to address fundamental theoretical questions related to the representation and measurement of the polarization state, as well as the use of Bayesian and/or statistical learning