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preferably a PhD (or significant progress towards a PhD) in Statistics or a related discipline, with expertise in applied/computational statistics. Proficiency in statistical programming languages such as R
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related field. Strong experience with Python, R, or C++ programming and high-performance computing (GPU/parallel workflows). A research track record including publications, presentations, or collaborative
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Management: Leadership, organisational psychology, project management, supply chain management Strategy: Entrepreneurship and innovation, business models, dynamic capabilities, strategic R&D management
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, and/or data analytics are encouraged to apply. Previous experience working with big data in R, SAS or STATA are preferred but professional development can be provided where necessary. The successful