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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
sites of Inria. This publicly funded research center has a workforce of about 620 people, including full-time research scientists, faculty staff, engineers and support staff, distributed in 33 teams and
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Department: Electrical and Electronic Engineering Title: Intelligent Distribution System Operation for Low-Carbon Power Systems Application deadline: All year round Research theme: Power and Energy
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Verifiable AI, Runtime Security Assurance, Robust and Secure AI-Supported Development, and Resilient Distributed and Agentic AI. RESIST will drive world-class research in the intersection between AI and
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Posting Title Graduate (Summer) Intern – Modeling, Real-Time Simulation, and Analysis of Distribution Systems . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working
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of system and data confidentiality and complete any other requirements. Desirable skills: Experience in programming (C, python, or similar). Knowledge in machine learning or distributed systems. How to apply
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interest in the total affairs of the college. Under general supervision, this individual will develop, prepare and teach Central Sterile Processing and Distribution Training Program courses. The faculty
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) at Trinity College Dublin is seeking a PhD student to explore the influence of topology in designing & operation of distributed quantum networks. The candidate will be part of the Marie Skłodowska-Curie Action
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Posting Title Graduate (Year-Round) Intern – Modeling, Real-Time Simulation and Hardware in the Loop (HIL) Testing of Distribution Systems . Location CO - Golden . Position Type Intern (Fixed Term
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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks