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Field
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of conducting literature reviews. Experience using statistical software packages, e.g. SPSS, R or similar. Please note the above is not an exhaustive list. For further information about the role including
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sciences, applied statistics, epidemiology, public health, pharmacy, psychology or related area. Strong quantitative skills and experience of using statistical packages such as STATA, R or SPSS. Experience
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in AI. This may involve adversarial and/or distributional robustness; probabilistic/statistical verification and certification; (multi-agent) reinforcement learning and stochastic control; Bayesian
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will provide a perfect platform to further enhance your skills. You will gain an in-depth understanding of experimental design, isotope and statistical analysis of the project data and contribute
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behaving mice, and good proven programming skills with MATLAB or Python as well as good knowledge of statistics and complex neural data analysis. Excellent experience performing in vivo surgeries, such as
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programming skills in either MATLAB or Python, combined with knowledge of statistics and complex neural data analysis. Experience of working on hippocampal and/or medial entorhinal datasets and in in vivo
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. This data will help shape paediatric-specific T2T endpoints and facilitate the development of personalized treatment strategies. You will apply advanced statistical and machine learning methods, and your
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learning, statistics/Bayesian probability is essential. You must be able to demonstrate the ability to mentor and supervise research students and assistants as well as the ability to work independently and
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is essential, as well as a high level of expertise in R coding and the application of statistics to multivariate datasets. The person hired will be required to travel to the Royal Botanic Gardens
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researchers currently using the resource. To be considered for the role you will be educated to a relevant PhD/DPhil (or be close to completion), in epidemiology, statistics or a related subject. Proficiency in