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to communicate and collaborate effectively in an international and interdisciplinary research environment. Desirable skills Experience in high-performance computing, including parallel programming and/or GPU-based
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research and teaching. It offers world class undergraduate psychology degrees, as well as postgraduate professional Masters training in Clinical and Forensic Psychology, an online Graduate Diploma program
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
23 Jul 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Physician - Department of Radiology, Program
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software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing using clusters like UPPMAX and GPUs for high-performance computing and parallel
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on ship design, naval control systems and in shipping management. Within the project we are aiming to recruit up to ten PhD students and one or two Post Docs to work in parallel across the core engineering
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and projects, often on a number of parallel and competing tasks. Work with discretion to decide on the timing of operations within the work team’s agreed plan and plan ahead to meet experimental and/or
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. Design and implement distributed and parallel approaches that efficiently leverage large-scale computing resources, including heterogeneous CPU/GPU systems, along with the possibility of working with
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. 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 of Denver. Our work is
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to human gut organoids and primary airway epithelial cultures, to map innate immune responses and identify viral factors responsible for immune evasion. In parallel, you will develop a rapid RT-LAMP