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organizations to understand research requirements and review protocol implementation. Qualifications: (1) PhD in MR physics or engineering, (2) expertise in MR system hardware and software usage, application and
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faces. At the same time, reinforcement learning is a key technology in artificial intelligence and machine learning that set various state-of-the-art results. In the Reinforcement Learning Lab
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students and post-doctoral researchers using high performance computing to advance understanding of high-speed aerodynamics. Over the past decade we have developed efficient open-source software that enables
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to metocean statistics and development of software packages related to the generation of said statistics. This work amounts to 25% (one year) of the total project period and allows the PhD project to run over a
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record in medical research and innovation. The project will benefit from access to advanced computing facilities and specialized software for deep learning model development and CT scan analysis
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inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene dine på nettsiden, slik
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interaction with the journal (rotating part). The PhD will be conducted in collaboration with Cummins Components and Software (CCS) [Turbochargers Group] who are developing fuel cell turbomachines which use
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student will work closely with experts at national spectroscopy and imaging facilities to deliver scientific software applicable to experimental imaging data. Project Aims The aim of this project is to
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reusable software and data artifacts where relevant. Communicate research outcomes through papers and talks at conferences, workshops, and beyond. Actively collaborate with other researchers in the TRL Lab
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-powered data analysis. Publish reusable software and data artifacts where relevant. Communicate research outcomes through papers and talks at conferences, workshops, and beyond. Actively collaborate with