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workshops, public talks, and community engagement activities Conduct a meta-study on collaborative transdisciplinary PhD cohort Co-develop energy literacy and communication projects Collaborate with academic
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. Key Responsibilities Lead and co-author peer-reviewed publications, funding applications, and reports Design and facilitate workshops, public talks, and community engagement activities Conduct a meta
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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and determination? We are currently seeking a/an PhD in AI-assisted proteomic data analysis applied to Human Health 50 Faculty of Life Sciences Job vacancy starting: 01.09.2025 (MM-DD-YYYY) | Working
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2025 Reference: RD-PHD-02-LS-MH-25 Project Title: Dietary strategies to reduce methane production in dairy cows and their effects on the rumen microbiome and metabolism Primary supervisor: Prof. Liam
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cooperative, competitive, and mixed settings. Collaborative decision-making frameworks and decentralized learning algorithms. Adaptive, meta-learning, and context-aware strategies to enhance policy
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successful in this role you will have: A Masters or PhD in a related discipline, and relevant experience in the fields of systematic reviews and meta-analyses, especially in the fields of PTSD and grief
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to lead or contribute to large-scale consortia and meta-analyses; Working closely with colleagues to help interpret findings and draft manuscripts and other reports for publication; Anticipating
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contribute to large-scale consortia and meta-analyses; Working closely with colleagues to help interpret findings and draft manuscripts and other reports for publication; Anticipating, communicating and
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This project will utilise the internationally unique pathogen genomic and associated meta data for all TB cases in the UK, numbering in the tens of thousands over more than a decade. This data set