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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
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Precise preparation of pharmacological solutions. Animal handling and potential to learn microsurgery skills Carry out other duties, commensurate with the grade and remit of the post Person Specification
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routinely collected healthcare data in health research (assessed at: application and interview) Further Information Grade: 6 Salary: £31,637 to £39,355 Work arrangement:Full-time, part-time options may be
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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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the University of Sheffield, and embark on this transformative PhD project! What You’ll Gain: Full PhD funding including tuition fees and a generous stipend Hands-on experience with world-class researchers and
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with a first class or upper second-class degree in engineering, physics, applied mathematics or a related field. A solid foundation in fluid dynamics and heat transfer, and experience with computer
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future. Industry 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
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biomedical engineering). Flexible start date! What You’ll Need A first-class or upper second-class honours degree (or equivalent) in Engineering, Physics, or Applied Mathematics. Experience in coding and CFD
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an amine plant. Plant process simulation software packages, such as gPROMs and Aspen will be employed with some complementary experimental investigations. The outcome from the project may be used in