-
Applications are invited for 3.5-year fully funded PhD studentship based in the Department of Chemical Engineering & Biotechnology, University of Cambridge and industry partner Swift Solar
-
interactions between the TAVI device and patient anatomy is critical for reducing the risk of adverse clinical outcomes. This project will use computational fluid dynamics (CFD), finite element analysis (FEA
-
part of a procedure for obtaining refugee status under the Geneva Convention are not considered) Candidates profile: MSc degree in Physics, Engineering, Mathematics, Computer science or related fields
-
to the space sector, and the PhD candidate will be a key part of this process. Requirements for the candidate: MSc degree in Physics, Engineering, Mathematics, Computer science or related fields. Solid
-
8 Apr 2024 Job Information Organisation/Company University of Cambridge Department Physics Research Field Technology Researcher Profile Recognised Researcher (R2) Country United Kingdom Application
-
. Being self-motivated and enthusiastic about AI for healthcare. Have a good first degree in computer science, biomedical engineering, applied statistics/mathematics, or any-related field. Strong problem
-
toolchain, working closely with project partner, Arm. We seek candidates with a strong background in Computer Science (1st class honours degree or equivalent, although a Master's is particularly desirable
-
thereafter. You will be trained in all aspects of veterinary diagnostic imaging, including radiology, ultrasonography, magnetic resonance imaging and computed tomography. The training programme is approved by
-
A fully funded 3.5-year PhD studentship, supported by an LCLU Joint Collaborative Programme grant, is available in the ProtocellLab (www.bonfiolab.eu ) at the Department of Biochemistry commencing
-
in an undergraduate honours or Masters degree in a relevant subject such as molecular biology, genetics or computational biology. The studentship is open to those eligible for the Home rate of