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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
research subject:https://www.defrost.inria.fr/project/horizon-europe-ire-2024-2028/ (project page) and https://www.defrost.inria.fr/research/publications/ (DEFROST team publications) Collaboration
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Location(s) Number of offers available1Company/InstituteTU DublinCountryIrelandCityDublin Geofield Contact City Dublin Website http://www.tudublin.ie/phd Street TU Dublin - Grangegorman E-Mail phd
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understanding of these mechanisms has the potential to improve our understanding of disease progression while enabling more personalized management. The PhD project aims to advance our understanding
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involved in all phases of this process. You will Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML
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28.07.2026, Academic staff The Chair of Computer Architecture and Operating Systems (CAOS), led by Prof. Carsten Trinitis, invites applications for two fully funded PhD student positions
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Medical Campus. The Department has grown substantially in the past 15 years, from 40 to 120 faculty in parallel with the remarkable growth of our hospital based affiliates as well as the city and county
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scattering and direct dark matter detection, using advanced cryogenic detectors. The MBI hosts a research group dedicated to Machine Learning in Particle Physics. Qualifications: PhD in Particle Physics
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computing, data science, and cyberinfrastructure environments supporting large-scale research workloads (Required) 2. Demonstrated knowledge of scale-out, parallel, distributed, object, and federated storage
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administrator, and a number of research fellows, research associates, and PhD students. Most staff are employed on/funded through external research grants, including those funded by the National Institute
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computing, data science, and cyberinfrastructure environments supporting large-scale research workloads (Required) 2. Demonstrated knowledge of scale-out, parallel, distributed, object, and federated storage