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remotely). You will have or be close to the completion of a PhD or equivalent in computational sciences (Mathematics, Engineering, Computer Science, Statistics), together with relevant research experience
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of designing and developing tools to help curate and analyse imaging data. 5. Strong grasp of univariate and multivariate statistical analyses 6. Strong programming skills (e.g., Python, r, Bash
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knowledge in statistics and experience with AI methods, techniques, tools, and application is highly desirable. Additional information: Interviews will be held on 20 June 2024. For further information and
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. The main focus of Centre for Advanced Cardiovascular Imaging is to apply statistical, multi-omics and machine learning approaches to national-scale imaging studies. About Queen Mary At Queen Mary University
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, with a relevant PhD is desirable: Interacting particle systems for Monte Carlo methods and rare event simulation Statistical physics for transport modelling Branching structures and or stochastic
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large volumes of data 2. Experience using statistical computing programmes such as R or STATA 3. Experience managing a varied workload with conflicting priorities 4. Ability to work
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management and general administrative skills 5. Knowledge of longitudinal datasets Desirable criteria 1. Experience in managing large volumes of data 2. Experience using statistical computing
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member of our team within the Statistical Genetics Unit at the Social, Genetic & Developmental Psychiatry Centre, you will be part of a collaborative research environment led by distinguished experts, Dr
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advantage: Boris, DataVyu, or similar video coding software Team management Cross-cultural research, esp. multi-sited collaborations Advanced statistical analysis skills, esp. relational event modelling
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passionate about using your skills in statistical modelling to make a difference to complex problems such as emergence of new diseases, then we would love to hear from you. You should have good knowledge