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communication journals Demonstrable proficiency in advanced quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential
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-intensive field Proficiency in Python (or R), version control, and clean code practices Experience with omics data analysis and integration Hands-on expertise in developing and fitting executable models
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studies and in using functional MRI and scripting-based languages (e.g. Matlab, R, Python). You will need to hold a PhD in Neuroscience, Economics, Psychology, Decision Sciences or related discipline
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Research or Psychology. You will have a detailed understanding and knowledge of statistical modelling and of software packages for carrying out statistical modelling, e.g., Stata, R, SAS, SPSS. Meticulous
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skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python. Experience in working with epidemiological or healthcare (or similar) data
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proven ability using statistical software for managing and analysing data using STATA/SAS/R. Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and
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of large datasets Experience of using statistical software (such as Stata, R, or other) Interest in the third sector, volunteering and/or community participation For further information, including a full
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quote reference: 658-25-R Closing date: 20 May 2025 Interview date: Week commencing 02 June 2025
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, in a relevant topic and relevant experience with mathematical modelling of infectious diseases. Strong knowledge of a programming language (e.g. R, Python) is essential. Experience in mathematical
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, in a relevant topic and relevant experience with mathematical modelling of infectious diseases. Strong knowledge of a programming language (e.g. R, Python) is essential. Experience in mathematical