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PhD Studentship in: Understanding risks from emerging contaminants (PFAS) to surface water resources
(subject to a maximum quota of overseas students per training grant). The selection criteria for the position are; • A good honours degree (or equivalent experience) in Engineering, Physical/Environmental
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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
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quota of overseas students per training grant). The selection criteria for the position are; • A good honours degree (or equivalent experience) in Engineering or Physical Science or a related subject
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to validate the process. We have funding to carry out RNA sequencing and make bespoke cancer vaccines. The candidate should have a keen interest in oncology, complex cancer models, and therapeutic interventions
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data storage or processing applications. Supervisor Bio Dr Matthew Ellis is a Lecturer within the Department of Computer Science whose research spans both computational physics and machine learning. His
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characters to life, is poised for transformation with the integration of advanced deep learning techniques. This project endeavors to automate the process by understanding the status from observations like 2D
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, physics, maths, computer science, and should be able to demonstrate good interpersonal and organisational skills. The expected start date for this project is September 2024. Interested candidates
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of inflammation. While we are beginning to understand the genetic networks regulating this process, it is not clear how these genes dictate and govern cell-cell interactions at wound sites. Using cutting-edge, in
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should have (or about to receive) a degree in engineering, physics or applied mathematics that is at least a UK 2:1 honours grade or its international equivalents. Previous experience with coding and CFD
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and enthusiastic about doing research in AI for healthcare and a commitment to supporting high quality research. Have a good first degree in computer science, statistics, physics, engineering, or any