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collaborations across the University, and supervise research students. The successful applicant will also have the opportunity to conduct a small amount of teaching at the Department of Statistics in their areas
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primary analysis to apply bioinformatics solutions to biomedical problems. You will be responsible for carrying out data processing and integration, statistical analysis, presentation and interpretation
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applications). The BRG is a dynamic group of 33 applied and methodological biostatisticians who work together to develop and implement state-of-the-art statistical methods in health research. The role will be
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a strong work ethic. Responsibilities: Implementing all aspects of SRs and HTAs, e.g. protocol development, inclusion screening, data extraction, statistical analyses, and report writing. Contributing
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to hold a PhD in Immunology, Bioinformatics, Statistics, Mathematics, Computer Science or other related computational subject. It is essential that you have experience in the analysis of single-cell RNA-seq
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clinical trials. The George Institute wishes to further develop its impact by focusing on efficient, patient-centered clinical trials. This is to be supported by the application of novel statistical and data
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basic statistical knowledge. Previous experience in cancer data analysis, machine learning, and exposure to diverse imaging modalities will be advantageous. The role offers training from senior
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of a 3-year program using cardiovascular MRI to assess modifiable mechanisms of aging. Applicants should have an established track record of research in machine learning, statistics and bioinformatics
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which can also be adapted to students’ interests and experience. Prospective candidates should have an MSc, MMath or MEng in mathematics, statistics, physics, aerospace engineering, signal processing
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order to respond to changes in working practices Proven ability in the provision and analysis of statistical information Broad experience, acquired through a combination of job-related training and on