14 machine-learning-and-computational-biology-research-group PhD positions at University of Sheffield
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. dos Santos is an Assistant Professor (Lecturer) in Computer Vision at the University of Sheffield. His research interests include remote sensing image processing, computer vision and machine learning
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PhD Opportunities in Molecular and Cellular Biology School of Biosciences PhD Opportunities Self Funded View DetailsApply Online
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Thermofluids Group The Thermofluids Group at the University of Sheffield leads pioneering research in energy systems and tribology. You’ll collaborate with expert academics and fellow PhD students, fostering a
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that require treatment while reducing unnecessary detection of slow-growing cancers. You will play a key role in a large mixed methods project as a qualitative researcher conducting focus groups, interviews and
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or potential damage to the rail surface. The Research: This project aims to transform this process by developing a novel machine learning (ML) tool and utilising cutting-edge machine learning algorithms
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crucial area of digital manufacturing. Benefits: Earn While You Learn: Get a fully funded four-year postgraduate research degree (EngD or PhD) with an annual tax-free stipend of £28,000 (that’s equivalent
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. Future job opportunities: Digital modelling and computational fluid dynamics are highly sought after skills used in academic research and industries (including mechanical, aerospace, automotive, energy and
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programming and/or CFD are desirable but not essential. The student is expected to present their research outcomes to the project team/sponsors on a regular basis in both written and oral formats. How to apply
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Experience: Gain valuable industry experience with a global leader. World-Class Environment: Develop your research expertise in a world-class tribology group. Flexible start date. Who Are We Looking For? We
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markers. Develop machine learning models capable of predicting Category 1 emergencies based on real-time audio features extracted from calls. Work iteratively with YAS researchers to test and refine