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Posted by Kate Stuart on Thursday, December 4, 2025 in Announcements , Job Opportunities . The AstraZeneca-University of Maryland Clinical Development Fellowship is an exclusive 2-year program geared toward PharmD and PhD graduates with a penchant for clinical research in...
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using X-ray coherent diffractive imaging and nanofabrications methods in two inter-related sub-projects. In one the student will manufacture structured ferroelectric films for demonstration of our newly
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X-ray imaging, with collaboration in restorative dentistry/prosthodontics and experimental mechanics. More about the position Project title: Wear and Fracture Testing Models for Dental Crowns: From
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procedures. The doctoral candidate will combine non-invasive electrocardiographic imaging (ECGi) with late gadoliniumenhanced magnetic resonance imaging (LGE-MRI) to create personalised models of cardiac
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expertise from computational sciences, chemistry, pharmacy, biology, and medicine. The convergence environment comprises three PhD positions and one postdoctoral position. PhD Position within PERMEATE We
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at establishing synthetic motion as a new paradigm for spatio-temporal metamaterials. Collaboration within a multidisciplinary team involving experimental and theoretical physicists. Involvement in publications
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. Although echocardiography is the most commonly used imaging technique for assessing cardiac function, many of the key factors responsible for diastolic dysfunction—such as myocardial stiffness, impaired
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, bioinformatics, predictive modeling, and digital-twin thinking. We are looking for two profiles: Neonatal Microbiome Research Fellow (postdoctoral only) Microbiome Ecology and Data Science Fellow (PhD
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of algorithms for medical image analysis. The successful candidate will investigate computational complexity, stability, and numerical summaries of multiparameter persistence, as well as applications to medical
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applications to medical data. The project will combine theoretical work on multiparameter persistence with the design and implementation of algorithms for medical image analysis. The successful candidate will