-
machine learning, bioinformatics, sequencing and microbiology. This role is available on a fixed term basis until 31st May 2027. Hours of work are full time (36.25 hours). Job share arrangements may be
-
takes input from a machine-learning platform (Python-based) to produce new compositions. A cobot delivers the material to the furnace or a plasma spray to produce new coatings. The proposed research is
-
View All Vacancies Chemistry Location: UK Other Closing Date: Sunday 12 May 2024 Reference: SCI266 Uncertainty quantification for machine learning models of chemical reactivity In this PhD
-
Industrialisation Centre at the University of Nottingham and contribute to the Power Electronics, Machines and Drives Research Group (PEMC). Your research will focus on electrical machines, drives, design, materials
-
the Electrical Revolution Industrialisation Centre as part of the Power Electronics, Machines and Drives Research Group (PEMC) at the University of Nottingham and become a core member of a team working on
-
the Electrical Revolution Industrialisation Centre as part of the Power Electronics, Machines and Drives Research Group (PEMC) at the University of Nottingham. You will be a core member of a team working on
-
digital infrastructure and engineer common data models for the entire research team, as well as develop Machine Learning and other AI approaches to support biomaterials design and discovery from
-
subject to performance. Closing Date: Wednesday 19 June 2024 Reference: ENG194024 We are seeking a Lead Manufacturing Engineer to join and provide leadership to an expanding electrical machines
-
Power Electronics and Machines Centre (PEMC) at the University of Nottingham and become a core member of a team working on electrical machines design and development. The multidisciplinary team covers
-
Revolution Industrialisation Centre at the University of Nottingham and contribute to the Power Electronics, Machines and Drives Research Group (PEMC). Your research will focus on electrical machines, drives