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modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial transcriptomics, proteomics, metabolomics, and metallomics data. Using advanced techniques
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, guidance, best practices and GCP standards regarding the conduct of clinical trials To ensure confidentiality of commercially sensitive information To ensure data protection imperatives are respected This is
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Fluency in English Strong skills in
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responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population sources. This research
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and genomic technologies to mental health research. The role will centre on the receipt, processing, and storage of thousands of blood samples, ensuring accurate sample tracking and data linkage within
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academic and clinical settings Experience with data analysis techniques Desirable criteria Evidence of working with international research groups or consortia, contributing to global perspectives on liver
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to supporting activities towards service transition. You will be responsible for improving, designing, and documenting data mapping, workflow and processes, and you will be responsible for making appropriate
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fellowships that typically involve trials or epidemiology using big data. There are excellent opportunities to develop, lead and apply novel methods and approaches, in response to complexities in data
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AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the
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investigates the molecular and cellular mechanisms underpinning muscle biology, in the context of health and disease. His labs interests have begun to explore the analysis of multi-molecule data sets