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Statistician and Methodological Lead in Digital Trials on the EMBRACE study represents an exceptional opportunity for an internationally recognised expert in statistics with a strong track record in
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-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment. This project will involve applying and evaluating statistical and machine learning models for data
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to future disturbance. A plot-level statistical model will be developed to understand drivers and identify where near-term tree mortality will occur. A second coarser-resolution model will be developed over
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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Interviews for this studentship
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Position Description Introduction Are you interested in developing novel statistical methods for relevant problems with complex, high-dimensional and network-structured data? Do you want to contribute
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software as python packages Report findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
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. As a Research Assistant, you will be involved in conducting literature reviews, cleaning and analyzing data, creating data visualizations and other statistical output, and supporting the dissemination
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this page. Application Deadline OPEN UNTIL FILLED Additional Information Clery Act Disclosure Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, the annual
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commitment, passion, and excellence in teaching. This position will teach the FinTech 522: Financial Institutions -Statistics course in the FinTech Master’s Program, this required course is made up of two 7
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to strengthen the wider evaluation ecosystem and promote the adoption of evidence-based interventions. See more at: https://www.kcl.ac.uk/policy-institute/about/edit About the role The Research Assistant