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the analysis of business processes and translating complex business requirements into clear system specifications. Facilitating workshops with stakeholders at various levels to uncover requirements and shape
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reviews, epidemiology, and data analysis to inform global mental health policy and research. Key responsibilities will include: Conduct systematic reviews in psychiatric epidemiology, including data
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frameworks for scientific applications deployment, advanced interactive analysis and data capture and movement. This position will be responsible for developing and enhancing the Neurodesk.org, Sciget.org and
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Quantitative Genetics, Statistical Genomics, Computational Biology, Plant Breeding, or a related field. Strong expertise in GWAS and post-GWAS analysis (e.g., fine mapping, gene network modelling, GWAS boosting
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modelling, including two-phase flow in fractures, stochastic permeability analysis, and upscaling to fracture networks. Deploy large scale simulations using high-performance computing (HPC) and collaborate
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interpretation and strain performance analysis. Automation and Computational Skills: Experience in implementing automation protocols for microbial strain engineering; Working knowledge of statistical analysis
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information technology component, or an equivalent combination of relevant experience and/or education and/or training. Formal training and/or industry certifications (e.g., SANS/GIAC; CISSP; CISM; CSSLP) in
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on Sub-study 3 - the analysis and evaluation phase. These are casual roles in which the work hours will vary from week to week depending on participant availability and project demands. We anticipate
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analysis and improvement Understanding of data management and compliance requirements Project management and change management experience Commitment to cyber security best practices Why You'll Love This Role
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to detail. Demonstrated ability to work independently and manage multiple deadlines. Experience working with ethics-approved human research. Familiarity with cost-benefit analysis or impact forecasting