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Field
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following skills and experience: Essential criteria PhD in statistical/psychiatric/behavioural genetics or a related academic area with a strong data analysis component Excellent coding skills with a focus on
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where applicable. Share research findings and project outcomes through various channels such as conferences, seminars, and publications. Utilise acquired knowledge to foster new intellectual insights
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academic area with a strong data analysis component Excellent coding skills with a focus on reproducibility and open-source publishing of code Experience of analysing large epigenetic or genetic datasets
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, and code optimisation for future-proofing model updates Data Wrangling & Processing[practitioner level] - Handling, structuring, and cleaning data for efficient model use Quality Assurance & Analytical
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, biomedical engineering, psychology and have excellent coding and data analysis skills. You will be highly motivated, collaborative, interested in technology and interdisciplinary research and willing
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solid mechanics and fluid mechanics. Proven hands-on experience with code development for computational fluid dynamics or computational solid mechanics using the finite element method. Demonstrable
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and analysis. Developing statistical models and code to run the proposed methods. Developing and running simulation-based analyses of the new methods. Main Duties The responsibilities may include some
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applying their skills do dementia. You will hold a PhD in a relevant area such as neuroscience, biomedical engineering, psychology and have excellent coding and data analysis skills. You will be highly
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills