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  Stroke risk in a “healthy” patient: personalised modelling of thrombus formation and movement in the blood stream after catheter ablation therapy for atrial fibrillation
  Dr A De Vecchi
Applications accepted all year round
1st Supervisor - Dr Adelaide De Vecchi. 2nd Supervisor - Dr Oleg Aslanidi. Stroke is a common complication of atrial fibrillation (AF), which itself is the most widespread cardiac arrhythmia.
  Stroke risk in a “healthy” patient: personalised modelling of thrombus formation and movement in the blood stream after catheter ablation therapy for atrial fibrillation
  Dr A de Vecchi, Dr O Aslanidi
Applications accepted all year round
Stroke is a common complication of atrial fibrillation (AF), which itself is the most widespread cardiac arrhythmia. However, the assessment of stroke risk is not straightforward in a large population of AF patients who are presented in sinus rhythm (SR), including patients after catheter ablation (CA) therapy, i.e.
  Two-stream Machine Learning Architecture based on Deep Learning and HMM for Person Recognition in Images/Videos
  Dr JC Nebel
Applications accepted all year round
The development of deep learning CNN architectures has led to remarkable progress in the field of computer vision. As a consequence, successful systems are now available for real world applications in a variety of areas including visual surveillance, sports analysis, gaming and security.
  Mining data stream in high dimensional space and regression domain (Advert Reference: SF18/CIS/SEKER)
  Dr H Seker
Applications accepted all year round
It is estimated that 2.5 quintillion bytes of data from a wide range of sources are generated daily, which is called “big data”.
  Engineering Cupriavidus Necator H16 to Convert CO2/Waste Stream into Useful Chemicals Using a Synthetic Biology Approach
  Dr TS Wong, Dr K Tee
Applications accepted all year round
This project falls under the umbrella of carbon capture and utilization (CCU), i.e., to turn a greenhouse gas CO2 into a useful feedstock for chemical syntheses.
  Sustainable Development of Non-aqueous Rheology Modifiers for the Personal Care Industry
  Prof M Davidson, Prof K Edler, Prof J Scott
Application Deadline: 24 March 2019
The Centre for Sustainable Chemical Technologies (CSCT) at the University of Bath focuses on developing new molecules, materials, processes and systems from the lab right through to industrial application, with an emphasis on practical sustainability.
  Navigating contemporary parenting cultures (a critical psychological perspective)
  Research Group: Psychology
  Prof A Locke
Applications accepted all year round
PhD applications (including a brief proposal) are currently being welcomed from students who wish to conduct research into parenting within contemporary society, in particular parenting under precarity.
  Automatic Activity Analysis, Detection and Recognition
  Dr K Chen
Applications accepted all year round
Activity detection, analysis and recognition are related to several important areas in machine perception research and applications.
  Centres for Doctoral Training - 4 Year PhD Studentships
The Engineering and Physical Sciences Research Council (EPSRC) is the main UK government agency for funding research and training in engineering and the physical sciences, investing more than £850m a year.
  Understanding resistance and tolerance to chytrid fungal disease in amphibians to improve conservation
  Dr L Grogan, Prof H McCallum
Applications accepted all year round
Wildlife are in peril. Chytridiomycosis (caused by aquatic fungal agent Batrachochytrium dendrobatidis) is the most devastating disease threat to biodiversity ever recorded.
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