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to or even much larger than the total sample size n. We refer to such “large p, small n” data as high-dimensional data. An enduring interest in statistics is to compare the covariance matrices of two high
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 13 hours ago
research networks such as the Centre of Data and Statistical Science for Health (DASH) (https://www.lshtm.ac.uk/dash ) and the Multi-City Multi-Country Collaborative Research Network (https
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clinical trial portfolio for a research programme in antimicrobial resistance and work to support colleagues in data-enabled trials. You will also undertake statistical methods research associated with
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and spoken English Proficient with descriptive and inferential statistics Good analytical and critical thinking skills Good organizational skills, shows initiative to plan and anticipate work needed to
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The fellow will be involved in bioinformatics and statistical analysis in genetics
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includes, but is not limited to, mentored research, grant writing, and teaching experiences. Discipline: Measurement Theory and Statistics Location: University of Maryland School of Pharmacy, Baltimore, MD
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complex datasets and conducting statistical analyses. • Strong writing and communication skills, with experience presenting to technical and non-technical audiences. • Ability to work independently and
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-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological insights that drive our translational and fundamental research programmes. In
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-class biologists in the Harvard medical area. Basic Qualifications An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field. Superb
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design