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Indian Institute of Science Education & Research Thiruvananthapuram | Thiruvananthapuram AG s, Kerala | India | 1 day ago
preference for Bayesian Modeling, Bayesian Computation, Time Series Analysis, Nonparametric Statistical Methods and High-dimensional statistics. Theoretical Computer Science School of ChemistryPolymer
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modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian hierarchical modeling using Integrated Nested Laplace Approximation (INLA). The work will contribute to ongoing
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of Oslo. Job description A fully funded PhD position is available on the development of spatiotemporal statistical modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian
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Research Associate to contribute to a project focused on robust Bayesian inference with possibility theory. Robust inference is crucial for many real applications in which datasets are invariably corrupted
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includes excellent healthcare, retirement plans, tuition assistance, paid time off, and a winter recess. POSITION OBJECTIVE Working under general supervision, the Advanced Data Analytics Research Analyst
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part of the EU-funded project IM4CA (https://im4ca.eu). Work duties The PhD student will carry out research related to the objectives of IM4CA. In particular, this project will employ a wetland CH4
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Physics and Number Theory. More broadly, the School also has research strengths in Bayesian and Monte Carlo Methods, Biomathematics, Biostatistics and Ecology, Computational Mathematics, Data Science
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of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high performing
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for health and performance Sports research objectives/questions: WearOptimo has developed a wearable sensor to sense the hydration status of individuals. The sensor uses micro-needles to penetrate the skin and
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. The Assistant/Associate/Full Teaching Professor will develop course content, prepare academic activities and course delivery materials to support course objectives, advise students, work collaboratively to