-
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
-
related to testing electrical machines, drives and materials are required.? The PEMC research group has grown exponentially and now has over 200 members, 24 academics and circa 130 PhD students, researchers
-
will be to shortcut the current search process in classify crystallographic orientation. This will be built upon where machine learning algorithms will be developed to extract material elasticity
-
quantitative methods, data skills and machine learning methods for effectively handling micro-level panel data, providing valuable skills for future careers. A Masters degree is not a prerequisite. Undergraduate
-
radial, transverse and axial machines. The PEMC has undergone a significant period of growth and now has over 200 members, with over 24 academics (including 9 full professors) and approximately 130 PhD
-
the areas of: Sustainable/resilient chemical supply chains Artificial Intelligence /Machine Learning for the prediction of bulk properties in performance molecules and materials Synthetic electrochemical
-
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
-
View All Vacancies Engineering Location: Jubilee Campus Salary: £30,487 to £45,585 per annum (pro rata if applicable), depending on skills and experience (minimum £33966 with relevant PhD). Salary
-
, 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
-
languages (Python/MATLAB) commonly used in machine learning applications is desirable but learning can be completed during the PhD. Excellent communication and interpersonal skills to facilitate collaboration