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Warwick Business School, The University of Warwick; | Warwick, England | United Kingdom | about 1 month ago
, expertise in AI, and interest in academic research. Applicants should hold (or be about to complete) a PhD or strong master’s degree in Computer Science, Business Analytics, FinTech, Statistics, or a related
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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, Computer Science, or a closely related field. You should have a strong track record in high-quality research, particularly in areas such as local energy and flexibility markets, blockchain applications, and
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international research partners in Africa and Asia. We leverage our state-of-the-art core facilities (flow cytometry, microscopy, proteomics and structural biology) to address important problems and find
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, local authorities, and energy stakeholders. We hope you will bring: Proven skill and experience with IoT technologies, sensor integration, or real-time monitoring systems. Skills in data processing
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discussion about the position, please contact Dr Yoshishige Tsuchiya (yt2@ecs.soton.ac.uk ). Equality, diversity and Inclusion is central to the ethos in the School of Electronics and Computer Science. We
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, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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of Electronics and Computer Science. We are commited to improving equality for women in science and have been successful in achieving an Athena SWAN silver award in 2025. We give full consideration to applicants
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experience in Mechanical Engineering, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM