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-Design team at Meta (formerly known as Facebook) is hiring PhDs graduating in 2025 for full-time positions and PhDs graduating in 2026 for summer internships. Additionally, we are hiring PhDs with
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As part of the Restoration Ecology And Dynamics (READY) Doctoral Focal Award, we invite applications to the following PhD project: Harnessing ecosystem resilience to inform woodland restoration
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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
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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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function of retained trees for lichens will be evaluated. This will be done by field studies, analyses of already collected data, and a meta-analysis of published studies. By working at Kopparfors, the Ph D
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
the Department of Mathematics and Statistics, with an appointment beginning August 4, 2025. The successful candidate will work directly with Professor Sheree Sharpe in the area of K-12 algebra education and meta
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About us Primary Supervisor: Dr Rebecca Baggaley Applications are invited for 1 PhD Studentship for students with a Home Fees status, based at the Institute of Health Informatics, UCL
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. Applicants should have completed a PhD in Business Administration with focus on Marketing. Knowledge of German is an asset, but not required. The candidate should have published articles in leading peer
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meta-epidemiological study to investigate the impact of placebo blinding in randomised trials of respiratory infections in primary care. The postholder will identify eligible studies and assist with data
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Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search