11 engineering-phd Postdoctoral research jobs at University of London in United Kingdom
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closely with team members with different research expertise, and also supervising current PhD students in the group. About You Candidates should have a PhD in mechanical engineering, biomedical engineering
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closely with team members with different research expertise, and also supervising current PhD students in the group. About You Candidates should have a PhD in mechanical engineering, biomedical engineering
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will have, or soon obtain, a PhD degree in mechanical/aerospace engineering, applied mathematics, chemical engineering, or a related field. We are looking for candidates with a strong background in
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PhD in Electronic Engineering or Computer Science. They should have a significant experience in participation of EU funded projects as contributor and manager of research teams. Expertise in Machine
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involves working closely with team members with different research expertise, and also supervising current PhD students in the group. About You Candidates should have a PhD in mechanical engineering
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Candidate will be educated to PhD level or have equivalent experience. They will have experience and expertise in conducting mental health research including data collection and analysis, and publication
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Department: School of Engineering and Materials Science Salary: £40,223 per annum (Grade 4) Reference: 2265 Location: Mile End Date posted: 9 May 2024 Closing date: 9 June 2024 Further details and
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imaging, electrocardiogram (ECG) and electronic health record (EHR) data to improve diagnosis, management and outcomes of heart failure. About You You will have either a PhD in the relevant subject (e.g. in
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Department: School of Electronic Engineering & Computer Science Salary: Research Assistant (£36,572 - £37,182 per annum) or Postdoctoral Research Assistant (£40,223 - £49,785 per annum) (Grade 5
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Science/Electronic Engineering (or equivalent). Applicants at the PDRA level must have a PhD in Computer Science or related field. Candidates must have substantial knowledge in Deep/Machine Learning, Audio and/or