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Field
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Exactly: A Bayesian Approach. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration
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opportunity for a highly motivated and skilled Research Associate/Assistant in statistics to join the EPSRC funded project PINCODE: Pooling INference and COmbining Distributions Exactly: A Bayesian Approach
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 3 hours ago
modeling, or machine learning - Experience with large-scale genomic data analysis (e.g., GWAS, QTL, PRS, or multi-omics integration) Strong programming skills in R or Python; familiarity with Bayesian
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), mathematical evolutionary modeling (game theory, dynamical systems, agent-based simulations or other), bespoke probabilistic modeling / (Bayesian) data analysis (e.g., in the Rational Speech Act framework
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and manipulating complex data structures, Bayesian modeling, analyzing nested longitudinal data, and who are familiar with techniques for handling challenging data (e.g., highly non-normal distributions
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that facilitate sustainable soil remediation and waste management. Project description The main objective of this project is to create a sustainable and cost-effective solution for managing PFAS-contaminated soil
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objectivity and impartiality of the evaluation process. All candidates will be informed about the results of each stage of the selection procedure. The process will be fully documented, and the final decision
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objectives are met efficiently. Qualifications: A Ph.D. in Materials Science, Environmental Engineering or a related field. Proven experience in synthesis and characterization of nanomaterials or composites
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are looking for an individual who can develop a PhD research project in alignment with the overarching objective of PARTY (investigating how (participatory) evaluation and learning processes can promote more
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expand professional networks. Project Management: Contribute to the planning, budgeting, and execution of research projects, ensuring milestones and objectives are met efficiently. Qualifications: A Ph.D