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Field
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programme: Evidence synthesis, qualitative methods and analysis, mixed methods, statistical analysis potentially including meta-analysis, intensive longitudinal methods, writing for publication, thesis
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midge) larvae. Based on these sensitive temperature indicators, they will develop quantitative reconstructions of glacial temperatures using multivariate statistical methods, results that will be compared
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their London-based doctoral studies, providing a truly unique and highly sought-after dimension to their research training. The Project How can we design statistically reliable frameworks for what-if analysis in
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/ *This position is fully paid and visa may be arranged Basic Qualifications • Bachelor’s or master’s degree in economics, mathematics, statistics, computer science, or related fields • Strong quantitative and
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to manipulate large datasets and good knowledge in statistical modelling (e.g. generalized mixed modeling) will be required. No field campaign will be necessary and the candidates must thus have a strong appeal
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statistics. You will also collect data independently, conduct surveys and organise workshops with companies, policymakers and academics, under the supervision of two academic promoters. In addition, you will
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learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 26 days ago
, statistical genetics, and genetic epidemiology, involving large human genetic studies. This 12-month full-time position is open at the Assistant Professor rank. Minimum Education and Experience Requirements
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
, statistical genetics, and genetic epidemiology, involving large human genetic studies. This 12-month full-time position is open at the Assistant Professor rank. Minimum Education and Experience Requirements
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research. Experience applying machine learning and statistical modeling techniques to large biological datasets for biomarker discovery, disease prediction, or host-pathogen investigations. Proficiency in