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opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https
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, Applied Mathematics, Computer Science, or a closely related field. • Candidates in the final stages of their PhD studies may also be considered. Skills: • Strong technical background in probability
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community research tools. Your key responsibilities will be to: work closely with QuESt Lab researchers and BHP Exploration teams to advance mineral systems research develop and apply innovative approaches
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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology
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data is incorporated into content and process is in place for highest volume topics for customers. • Assist with the Publications, Abstracts and Posters; helps to facilitate Team calls to review progress
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Innovation Collaborate cross-functionally with medical affairs, clinical development, regulatory, and commercial teams. Contribute to continuous process improvements and innovation in scientific communications
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techniques, and have (or be eligible to apply for) ONS Accredited Researcher status, but if you are not sure that you fulfil every other criterion in the role profile, we encourage you to apply anyway. You
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research infrastructure. Apply advanced statistical, machine learning and data engineering methodologies to large-scale, longitudinal datasets, contributing to innovative melanoma and skin cancer research
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. Supporting and mentoring graduate students where appropriate. About you You will have: PhD in mathematics, physics, data science, engineering, systems biology or a related field, or be in the final stages