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structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise
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. The applicant should be well versed in structured programming, in the maintenance of numerical codes and in the training of new users, such as graduate students. A proven track record of collaborative
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learning. The post-holder will be familiar with the use of these techniques and experience of dataset construction and data mining will be essential. The successful applicant will have completed an MPhil/PhD
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Aalto University is where science and art meet technology and business. We shape a sustainable future by sparking the game changers of tomorrow and by creating novel solutions to major global
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the interfacial strength, nano-scale 3D structure and residual stresses in advanced power electronic materials (INTERVENE), and is fixed-term of 18 months. Power electronics is a major technology sector for the UK
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encouraging of collaborative interactions between groups. Role Summary Applicants will have a PhD in Biochemistry, Protein Engineering, Structural Biology or Synthetic Biology, Molecular Plant Pathology
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the interfacial strength, nano-scale 3D structure and residual stresses in advanced power electronic materials (INTERVENE), and is fixed-term of 18 months. Power electronics is a major technology sector for the UK
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The College of Engineering and Physical Sciences (EPS) is seeking to appoint a Postdoctoral Research Associate – Digital Twin Training & SME Onboarding on a fixed-term, full-time basis. This is an
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sensing, signalling and memory, critically influences the disease onset and progression1. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is
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Engineering and a strong background in experimental magnetism. The position, based within Prof Jason Robinson's research group at the Department of Materials Science & Metallurgy, is part of the project