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world-class laboratory facilities in the CfAM engaging with interdisciplinary team with expertise in 3D printing, biotechnology, physics, and materials science. PhD project description: Responsive 3D
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fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
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). The student will work in world-class laboratory facilities in the CfAM engaging with interdisciplinary team with expertise in 3D printing, biotechnology, physics, and materials science. PhD project description
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will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading academics from 5 universities, and 11 industry leaders in pharmaceutical
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process, please contact the Education support team at ioppn.pgr@kcl.ac.uk . References must be received by the deadline for the applicant to be eligible. Only shortlisted applicants will be contacted.
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will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading academics from 5 universities, and 11 industry leaders in pharmaceutical
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fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
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the assignment. This is part of your personality: General expectations: Actively enrolled to PhD studies in Physics at the University of Vienna. Full member of the VDSP who has followed all PHD curricular
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@cam.ac.uk ) for enquiries of a technical nature and Liz Howard (div-c@eng.cam.ac.uk ) for queries related to the application process. The University actively supports equality, diversity and inclusion and
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level. There is no plan to test any device in the stratosphere. Teaching/learning support, networking and planning the use of resources also takes up a small portion of this position. The skills