573 data "https:" "https:" "https:" "https:" "UNIVERSITY OF LUXEMBOURG" PhD positions in United Kingdom
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resolution. This PhD offers the opportunity to conduct cutting-edge research with direct industrial impact, combining fundamental fluid mechanics with modern data-driven techniques. The successful candidate
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the network, and every synapse is updated, on every epoch. Recent work has begun to challenge both halves of this independently. Progressive Data Dropout has shown that progressively reducing the training set
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 2 months ago
function in the Safety and Surveillance group. Within a week of working here, your day could look like this: help shape the UK Government’s premier data-driven research service. You will participate in and
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stakeholders and an analysis of TIA clinic data you will help to understand how stratification might assist in delivery of more appropriately targeted care. You will develop mixed-methods expertise and join Dr
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click on the Apply button above. Please see here for a list of supporting documents to upload with your application. For more information on the admissions process generally, please contact
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useful information beyond established clinical risk scores. Phase 2: Linking clinical status to atrial electrical remodelling (n ~100): In a clinical ablation cohort, we will relate standard procedural
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pathways, including lifetime extension, targeted component upgrades, partial repowering, full repowering, decommissioning, and asset recycling, drawing on real-world wind farm data and asset management
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of spins that could form the basis of future low-power data storage devices. However, real skyrmions are three-dimensional and can twist, stretch, or deform when trapped by material defects - behaviour
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, environmental fluid mechanics, nature-based solutions, and data-driven analysis. Eligibility Applicants should have a first or upper second class honours degree in an appropriate subject and preferably a relevant
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computer scientists to design paradigms that compare "active" learning (standard VR) against "proprioceptive" learning (haptically guided movement), measuring outcomes such as path efficiency, force