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, and outcome monitoring. In parallel, you will also: Explore the integration of outcome data into routine care, working closely with clinicians at Erasmus MC and national stakeholders. Decision
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Cardiovascular disease remains the leading cause of death globally. In parallel with an ageing population and increased prevalence of CVD, there is also a major drive towards urbanisation. Around 75
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develop and compare ex vivo model systems derived directly from patient tumor tissue and blood. These models will be evaluated in parallel with an upcoming clinical trial at our department testing
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directly to the upstream swt-initiative31/skija prototype, focusing on: rendering logic. layout behavior. and basic widget implementations. In parallel, they will evaluate how the Skija backend could be
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- and neuron-targeting anti-obesity drugs in these ex vivo systems. In parallel, you will collaborate with a team of postdocs, PhD students, and technicians working with genetic animal models
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materials with engineered catalytic sites, as part of the HyCARB project. The successful candidate will join a dynamic research team with access to facilities for materials synthesis and parallel catalytic
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radar control, data acquisition, and visualisation systems. You'll dive into radar signal processing, tackling high-throughput and parallel data challenges using technologies like CUDA and OpenCL. You’ll
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. Dr. Tiziano De Matteis (who will be co-supervisor), is an Assistant Professor in the group. His interests are on Parallel and Distributed Computing with a focus on systems and programming models
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Cardiovascular disease remains the leading cause of death globally. In parallel with an ageing population and increased prevalence of CVD, there is also a major drive towards urbanisation. Around 75
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of the 3D Biology research programme at the Radboud university medical center. You will also collaborate closely with scientists at HUB Organoids who are running parallel programmes and with researchers