-
of Faculty member Hubie Chen. The successful applicant should have (or expected to receive) a PhD in Computer Science, Mathematics, or a related discipline. Research interest and experience in the following
-
post holder will be required to have: A PhD degree (or equivalent) in Electronic Engineering, Applied Mathematics, Physics or other areas related to RF/Microwave Engineering. Expertise in advanced
-
Job id: 089405. Salary: £62,696 - £64,421 per annum, including London Weighting Allowance. Posted: 10 May 2024. Closing date: 14 May 2024. Business unit: Faculty of Life Sciences & Medicine. Department: Perinatal Imaging & Health. Contact details:Professor Mary Rutherford. ...
-
efficiency improvements. 2. Develop mathematical models and simulation tools to represent the dynamic behaviour of onboard power systems under various operating conditions and loads. 3. Utilize optimization
-
to have: A PhD degree (or equivalent) in Electronic Engineering, Applied Mathematics, Physics or other areas related to RF/Microwave Engineering. Expertise in advanced theoretical and computational
-
-based statistical inference and the use of relational databases, or candidates with a PhD or similar in computational science or mathematics, and an interest in archaeology. We will consider candidates
-
discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language
-
, Computer Science, Mathematics, or related disciplines with a focus on machine learning, deep learning, or data science. Proficiency in machine learning and computational modelling. Capable of developing and
-
on mathematical constructions are potentially weaker than currently believed, and the project will deepen our understanding and assess the hardness of these natural and fundamental problems. The post-holder will be
-
Job id: 089765. Salary: £43,205 – £46,732 per annum, including London Weighting Allowance. Posted: 17 May 2024. Closing date: 30 June 2024. Business unit: Natural, Mathematical & Engineering Sci