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Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible
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Temporary/Per diem Organization Type: Higher Education Institution Required Education: Doctorate/Professional Internal Number: JR102485 Job Description Summary The Department of Engineering Technology at
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quantify high-throughput binding data. Examples of suitable backgrounds: Optical engineering, hardware-software integration, image analysis. Building quantitative models: Using high-throughput binding data
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. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine
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addressing composite failure, damage mechanisms, and structural behaviors. Develop tools and models for virtual certification, integrating data-driven and physics-based approaches. Developing digital tools
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passionate plant science researchers, bioinformaticians or remote sensing/data scientists with skills in image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary
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an emphasis on technology, data science and the humanities. The Nutrition, Metabolism and Health Programme is addressing one of the world’s most pressing healthcare issue: Over nutrition driven chronic diseases
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, and real-time human health coaching. CADENCE D-PHA also aims to incorporate AI-driven assistance for cardiovascular disease patients through digital health coaching by leveraging large audio models and
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disease treatment through advanced Digital Twin technology. Based in the Department of Computing and Mathematics, you will lead the design and development of AI-driven models applied to complex healthcare
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-driven models to optimize solvent systems. Mentoring the training and learning of PhD and undergraduate students on sustainable biomass conversion topics Assist in report/document/further grant writing