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, computational biology, computer science, data science or a related subject area and proven knowledge of python programming, developing machine learning/AI based tools and HPC. You will be expected to work as part
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sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events. Applicants will possess a relevant PhD or equivalent qualification
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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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quantitative and digital methods, such as descriptive/inferential statistics, data modelling, machine learning (ML), experimental prototyping and technology ideation. A significant degree of autonomy is required
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the domain on health and wellbeing. In addition, the post will involve administrative tasks associated with the running of the project and the requirements of our funders. It is essential that you have a PhD
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co-develop a next-generation ocean component for integration into the universal climate model OASIS. We are looking for a candidate with a PhD (or equivalent) in Physical Oceanography, Atmospheric
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ensure UK-leading compute capability. These investments build on a major recent expansion of our academic staff and investment in our teaching and learning provision, with our Collaborative Teaching
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and develop research that will enable the energy transition? This interdisciplinary position offers an exciting opportunity for a PhD level researcher to support the curation of a number of creative
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for a PhD level researcher to support the curation of a number of creative outputs (or ‘stories’) on the subsurface and its contribution to the energy transition. You will join a team led by Associate
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developing ideas for application of research outcomes. This post also be linked to research activities linked to the Faculty’s research platforms such as the Power Electronics, Machines and Control Research