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/ Knowledge / Abilities PhD in statistics, biostatistics, epidemiology, bioinformatics, data science, computer science, or related. Should have strong programing skills and knowledge of statistical modelling
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of climate science, statistical methodology, and computational modelling. The PROTECT project is part of the ARIA-funded programme on climate tipping points and aims to improve the scientific and statistical
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analyse data, interpret and present results to a high standard using a range of specialised research techniques. Good knowledge of the R statistical programming language. Programming experience in C, C
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) for each of the University’s campuses. These reports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses
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using statistical packages such as Stata, R or Python. About the Institute The Wolfson Institute of Population Health (WIPH) is an exciting and dynamic environment, home to more than 450 staff, 100 PhD
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. Preferred: • Strong programming skills in languages such as R/Python • Research background in biostatistics/statistical genetics/population genetics/deep learning and LLM • Experience in any of the following
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outstanding PhD in psychology, research experience in aging psychology and development in adulthood and excellent statistical methodological skills. You will have the opportunity to work in a highly motivated
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experience: Essential criteria PhD in neuroscience, neuroimaging or related discipline. Experience and knowledge of performing functional MRI experiments Proficiency in the use of statistical packages (e.g. R
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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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experience: Essential criteria PhD in neuroscience, neuroimaging or related discipline. Experience and knowledge of performing functional MRI experiments Proficiency in the use of statistical packages (e.g. R