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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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Qualifications: PhD or foreign equivalent in Biology, Molecular Genetics, Fisheries Science, Statistics or related disciplines Experience in basic laboratory techniques Thorough knowledge of population genetics
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). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are encouraged to apply
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research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in Mathematics, Statistics or Computer Science obtained
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design for clinical research and cohort studies Programming/coding proficiency in statistical software Savvy importing/exporting data between various systems/platforms Experience working with individuals
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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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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in the Tumour Inflammation and Immunotherapy Program at SAiGENCI combine molecular biological and genetic approaches, together with human translational studies, to identify the mechanisms by which
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Putts; and inflammatory genetics. The successful candidate will support other researchers and MSc/PhD students. They will develop novel scientific questions and lead on the analysis of specific aspects
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this position will be to work independently and as part of a team in the daily function of the laboratory. The successful candidate will plan, coordinate, and participate in all aspects of the research project