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University of Leeds Biomedical Engineering PhD Projects

We have 6 University of Leeds Biomedical Engineering PhD Projects

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  Comparative biomechanics of insect flight
  Dr S.M. Walker, Dr G N Askew
Application Deadline: 28 July 2019

Funding Type

PhD Type

We are seeking a PhD student to join the Comparative Biomechanics group in the Faculty of Biological Sciences at University of Leeds.
  Predicting outcome from cancer treatment using clinical and imaging data in multiple countries
  Dr A Appelt, Prof D Sebag-Montefiore
Application Deadline: 2 September 2019

Funding Type

PhD Type

Background. Prediction models for cancer outcomes can provide direct clinical value and are becoming increasingly important to individualise treatment.
  Deep learning for early detection of cancer recurrence in patients with glioblastoma through imaging
  Dr A Gooya
Application Deadline: 1 August 2019

Funding Type

PhD Type

Brain tumours are cancer of unmet need and are the most common cause of cancer death in under the 40s. Glioblastoma is the most common primary adult brain tumour and carries one of the worst prognoses amongst human cancers, with a median survival time of about 15 months.
  Deep learning for outcome prediction after pelvic radiotherapy
  Dr A Gooya
Application Deadline: 1 August 2019

Funding Type

PhD Type

Modern radiotherapy is highly optimized with respect to individual patient anatomy, utilising 3D anatomical imaging for treatment planning and guidance.
  Design and control of magnetic soft robot for surgical applications
  Prof P Valdastri
Applications accepted all year round

Funding Type

PhD Type

This vacancy is created by a major European Research Council (ERC) Consolidator grant awarded to the STORM Lab, which aims to define a new generation of surgical tentacle-like robots that can be magnetically guided within the human body by magnetic fields.
  Nanoscale Tweezers for single molecule manipulation
  Dr P Actis
Application Deadline: 31 July 2019

Funding Type

PhD Type

Are you interested in working at the interface between electronic engineering, physics, and biology? Do you want to contribute to the development of the next generation of ultra-sensitive tools for personalized health?.
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