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‘Work, Welfare Reform and Mental Health’ programme. This involves collaborating closely with an interdisciplinary team of researchers as well as the Centre’s academic and community partners, as part of
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geography/remote sensing, ecology, statistics, engineering, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real
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mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong programming proficiency in R
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real
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in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related
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Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis on various aspects of mental health and
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you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in biostatistics, statistics or related field (or pending
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PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field * Demonstrated expertise in programming and scripting (e.g. R, Python, Bash) for data
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (or pending results). Strong programming skills