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Field
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and molecular data from prospective cohort studies. The main responsibilities will include managing and analysing complex epidemiological and molecular datasets, including high-dimensional omics data
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concepts underlying the GIG into efficient data structures and algorithms. Your work will also involve developing algorithms to manipulate and analyse GIGs, creating efficient methods for translating GIGs
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ethics, research integrity and handling research data). Evidenced flexibility and confidence to tackle a wide range of tasks, with an open, pro-active, creative, & problem-solving approach. Evidenced
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of the research group. Critical analysis and interpretation of experimental data are integral aspects of the role, and the candidate will be expected to regularly present findings within the group, department, and
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to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information
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models) to extract and compare outcomes reported across clinical trial registries, protocols and publications. Working with computer scientists, statisticians, trial methodologists, outcomes researchers
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to the development of high-quality empirical research proposals on relevant research questions, to be operationalised from conception through to research ethics, data collection and writing up. You will lead on the
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to treat rare disease. You will be responsible for planning and carrying out laboratory research, generating high quality data and writing up findings for publication. You will also need to present data and
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structural brain networks can be used to capture additional predictive power. If the role holder desires, there may also be scope to relate brain imaging to speech and language data. About You To be successful
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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 following skills and experience: Essential criteria PhD in