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proficiency in both qualitative and quantitative research methods. Experience in data management and statistical analysis software such as Excel, STATA or R, along with qualitative analysis tools such as NVivo
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer science
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Develop and support Cube Analysis and Rendering Tool for Astronomy (CARTA) software within a global team to enable high-impact science using SKA data and infrastructure. Full-time appointment on a
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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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demonstrate a strong commitment to confidentiality and information handling, work collaboratively with colleagues, and show proficiency in Microsoft Office and University software, with a willingness to learn
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Fellow will undertake research in applied LLMs, knowledge engineering and geospatial analytics and assist in the development of web application and software packages to translate the research outcomes. In
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individual to work on an exciting modelling and simulation project, involving extensively applied work at the intersection of software engineering research and modelling and simulation, with real-world testing
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and reporting using software such as Excel or other scientific tools. Strong communication skills and the ability to work independently or as part of a collaborative research team. Desirable: Previous
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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