Visit All-Acad.com with more than 100,000 Jobs for Academics!
                    
Position: PhD Studentship: Multiscale Modelling, Simulation and Machine Learning Tools to Predict Graft Failure
Institution: University College London
Department: Department of Mechanical Engineering
Location: London, United Kingdom
Duties: The aim of this studentship is to create a flexible multi-scale modelling framework to engineer better outcomes for vascular patients undergoing bypass procedures (vein-grafts) and will harness the power of machine learning tools to understand individual variability, classify patients’ risk and predict individual patients’ outcomes
Requirements: Applicants should have an MSc or equivalent in Biomedical Engineering, Mechanical Engineering, Aeronautical Engineering, Physics, Applied Mathematics or a related subject Strong background in biomedical engineering, mechanical engineering, aeronautical engineering, physics, applied mathematics; in particular, strong knowledge of how to derive and manipulate differential equations. Excellent programming skills in any of the following languages: C, C++, FORTRAN, Matlab, Octave or Python, Good oral written and presentation skills
   
Text: PhD Studentship: Multiscale Modelling,Simulation and Machine Learning Tools to Predict Graft Failure, - Ref:1736733 Click here to go back to search results UCL Department / Division Department of Mechanical Engineering Location of position London Duration of Studentship 3 Years Stipend ?16,777 per annum Vacancy Information This studentship provides an opportunity for a UK/EU national candidate to join a 3-year study program in UCL's Department of Mechanical Engineering. The aim of this studentship is to create a flexible multi-scale modelling framework to engineer better outcomes for vascular patients undergoing bypass procedures (vein-grafts) and will harness the power of machine learning tools to understand individual variability, classify patients? risk and predict individual patients? outcomes. Studentship Description A 3-year PhD studentship is available at UCL Department of Mechanical Engineering for an enthusiastic student interested in Multiscale Modelling and Simulation and Machine Learning Tools to Understand and Predict Graft Failure. Person Specification Applicants should have an MSc or equivalent in Biomedical Engineering, Mechanical Engineering, Aeronautical Engineering, Physics, Applied Mathematics or a related subject Strong background in biomedical engineering, mechanical engineering, aeronautical engineering, physics, applied mathematics; in particular, strong knowledge of how to derive and manipulate differential equations. Excellent programming skills in any of the following languages: C, C++, FORTRAN, Matlab, Octave or Python, Good oral written and presentation skills. Eligibility This funding is only for UK and EU passport holders. There is no minimum qualifying residence requirement for applicants from the EU. We actively encourage the application of female applicants for this position. Please DO NOT enquire about this studentship if you are ineligible. Please refer to the following website for eligibility criteria: https://www.ucl.ac.uk/prospective-students/graduate/research-degrees/mechanical-engineering-mphil-phd Application Process: Eligible applicants should contact Dr Vanessa Diaz ( v.diaz@ucl.ac.uk ) quoting the job reference number. Please forward a CV (including at least two referees), a covering letter and a transcript of results (listing all subjects taken and their corresponding grades/marks) to Dr Diaz ( v.diaz@ucl.ac.uk ). Contact name Dr Vanessa Diaz Contact details v.diaz@ucl.ac.uk UCL Taking Action for Equality Closing Date 31 Oct 2018 Latest time for the submission of applications 23:59 Interview date TBC Studentship Start Date TBC Studentship Further Particulars
Please click here, if the Job didn't load correctly.







Please wait. You are being redirected to the Job in 3 seconds.