139 Materials Science positions at Nottingham Trent University in Ireland-United-Kingdom
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Police and Nottingham City in relation to environmental waste management concerns. You will also be responsible for producing Student Code of Behaviour (SCoB) reports as well as working with internal
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lines, and we break boundaries. We are 3,000 students, five departments and one school. In the School of Architecture, Design and the Built Environment, we stand half way between science and philosophy
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About the Role Join our Employability Team as an Employability Adviser and help our students and graduates achieve their future aspirations! As an Employability Adviser, you will be part of a dynamic and supportive team that offers information and advice services to students on various topics...
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for individuals to contribute to our Institute of Biomedical Science (IBMS) accredited portfolio of courses at both undergraduate and postgraduate level. We will consider candidates with a strong clinical focus
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, the successful PhD candidate is expected to generate 3D human muscle models in vitro using our patented technology and assess the impact of proteins and drugs on muscle growth and waste using a variety of
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flexible office and remote home working. All School of Science and Technology administration roles are expected to be present on Clifton campus in the School administration office a minimum of two to three
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a formidable challenge and a transformative opportunity for businesses across sectors. Traditionally, ESG criteria—ranging from carbon emission reduction and net-zero initiatives to waste management
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rigid structure will give us excellent vibrational signals to monitor. Other solitary bees suitable for the study could also be investigated. Video and audio material will be discussed with Nottingham
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on increasing the flexibility of local energy communities. Applicants are required to possess a degree in electrical engineering, computer engineering, or mechanical engineering, applied mathematics, economics
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learning, collaborative machine learning, and data-driven predictive modeling, analysis, and decision making. We are seeking candidates with a degree in computer science, electrical or mechanical engineering