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PhD student(s) will join a vibrant team of postdocs, academics, and up to four PhD students working collaboratively across modelling, qualitative fieldwork, and optimisation techniques. PhD Research
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-quality research publications in econometrics or related fields. You will possess the ability to solve complex statistical problems, show advanced computer literacy with proficiency in relevant software
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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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the structure present in food systems dictates functional aspects such as digestion and release of nutrients. Working alongside other postdocs and students focused more on biological aspects of these processes
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. This is a unique opportunity to work with pioneering bedside monitoring tools, such as ICM+ software, and support the delivery of major multi-centre clinical studies, including BONANZA-GT and PRECISION-TBI
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working with refugee and asylum seeker populations. Strong skills in statistical analysis, manuscript preparation and the use of software such as SPSS, Stata, R or Python are also essential. This is a rare
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: Experience in physical system modelling including finite element modelling Experience working with large codebases in open source software environments Proficient user of HPC environments including MPI
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, while the production of open source software is critical to ensure that project outcomes are translated to industry practice. Candidates with skills aligned to the project, will be highly competitive and
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software such as redcap, R, python. Experience in clinical trial management and coordination, including regulating clinical research with a large human subjects component. Strong knowledge of ICH Guidelines
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technologies, including equipment and software, and a demonstrated ability to quickly adapt to and master new systems. Experience working in or managing a PC2 Lab, with a solid understanding of PC2 compliance