53 machine-learning positions at University of Nottingham

PhD Studentship: Uncertainty quantification for machine learning models of chemical reactivity

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

Research Associate/Fellow in Electrical Machines (Fixed term)

Researcher to be a part of the Power Electronics and Machines Centre (PEMC) at the University of Nottingham and become a core member of a team working on electrical machines, electromagnetic design, magnetic

PhD Studentship: Concrete4Change and the Centre for Sustainable Chemistry

leading-edge data analysis, including machine learning/AI approaches. We are looking to attract applicants from chemistry/materials chemistry with an innate drive and curiosity to deliver new solutions

PhD Studentship: Autonomous Bioactivity Searching

View All Vacancies Engineering Location:  UK Other Closing Date:  Friday 31 May 2024 Reference:  ENG1753 Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month

PhD Studentship: Novel subsurface Raman microscopy technologies to enable the development of next-generation drug and implant therapies

, chemistry, or engineering. They should have evidence of strong background in optics, experience in computer programming, electronics skills, and be willing to learn/conduct cell and tissue-based experiments

Apprentice Technician – Mechanical (Fixed term)

over the apprenticeship period to learn and train on a wide range of cutting-edge engineering technologies and disciplines including: CNC machining including CAD/CAM Rig design, build and modification

Research Associate/Fellow (fixed term)

/) and The Donald Danforth Plant Science Centre (https://www.danforthcenter.org/) The candidate should have (or nearly completed) a PhD in a computer vision or a deep learning-related subject. The ability

Research Associate/Fellow (Fixed term)

Research (https://www.rothamsted.ac.uk/) and the Earlham Institute (https://www.earlham.ac.uk/). The candidate should have (or nearly have completed) a PhD in a computer vision or a deep learning-related

Research Associate/Fellow in mechanical vibration

group and become a core member of a team developing state-of-the-art electrical machines for future cars and aircraft. Applications are invited for the above position to join the growing Power Electronics

Research Associate/Fellow (Fixed term)

thermodynamics; large-deviation theory; statistical mechanics of machine learning. The main responsibility of the role is to carry out theoretical and/or computational research in quantum and/or classical