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academic performance and grades at undergraduate level and/or Master’s level is considered essential. Knowledge & Experience (Essential & Desirable) A strong background in engineering or mathematics
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track record proven by relevant experience, publications, etc. The applicant is expected to have: MSc degree in Computer Science, Artificial Intelligence, Electrical Engineering, Applied Mathematics
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they are based on mathematical and statistical principles dating from the 1970s. Developing these pharmacometric models remains a laborious task where highly qualified staff spend large amounts of time. Aims
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combination of mechanism-based mathematical models to describe drug concentrations and effects, and statistical models such as nonlinear mixed effect models to quantify and predict variability between patients
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, including Engineering, Physics, Mathematics, and Computer Science – candidates with experience with Machine Learning and/or Crystallography would be particularly suited for this project. This project will
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undergraduate honours degree or Master’s degree with Merit in a relevant discipline (such as Computer Science, Mathematics or others related to the PhD topic). If English is not your first language, you must have
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; solid mathematical background and programming skills; preferably, prior experience with publications in computer vision, machine learning and deep learning. The English language requirements must also be
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1st class would be highly desirable. We welcome candidates from a broad range of disciplines, including Engineering, Physics, Mathematics, and Computer Science – candidates with experience with Machine
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PhD Studentship in: Understanding risks from emerging contaminants (PFAS) to surface water resources
Science, Mathematics, Computer Science or a related subject. • Enthusiasm for research and collaboration with industry • Good level of written and oral communication skills, as appropriate for disseminating
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criteria for the position are: • A good honours degree (or equivalent experience) in Engineering, Physical Science, Mathematics, Computer Science or a related subject. • Enthusiasm for research, and in