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and technology. Desirable (not essential): Research experience in sports medicine and technology (e.g. publication or final year project). Programming skills in MATLAB or Python. Application Procedure
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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
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benefit from the extensive and broad expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a
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focus on the medical image processing aspect of the Birth4Cast simulator by researching and developing automated image segmentation procedures to extract the pelvic floor muscle complex and the fetal head
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expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and with clinicians
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for the project titled “Behaviour change for brain health supported by AI imagery”. The School of Social Sciences at Heriot-Watt University is offering a full-time PhD studentship funded by the Engineering
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or higher degree (or international equivalent) in: Mechanical Engineering, Aeronautics, Aerospace Engineering, Materials or Physics We would also like to see experience in: Mechanical experimentation, FEA
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expertise in the design and evaluation of imaging solutions and will have an opportunity to work with scientists and engineers at Cefas. They will undertake training specific to this project including imaging
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industrial partners to deliver impacts on real world The opportunity to reshape the paradigm of power system analysis and operation The opportunity to receive training and mentoring from world-leading experts
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to reshape the paradigm of power system analysis and operation The opportunity to receive training and mentoring from world-leading experts *Candidates who have not yet been officially awarded their PhD will