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Field
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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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’ 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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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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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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) for engineering systems and structures, as well as expertise in machine learning, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R
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, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R. Teamwork and Responsibility: Ability to work effectively within a project team
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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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demonstrate the interweaving of humans and other species, animate and inanimate objects and technologies. Through these examples, the project experiments with methods (Research through Design, diffractive
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solutions. Job Description: The successful candidate will carry out duties to the highest standard and will: Undertake original research of international excellence. Develop research objectives and proposals
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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