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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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infrastructure development. Familiarity with electricity markets and power system modeling, including ERCOT market structure and data, is desirable but not required. Experience applying machine learning or AI and
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physical simulations, machine-learning climate emulators, and new perspectives on the dynamics of weather and climate to understand i) what current simulations of extreme rainfall can already capture
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), machine learning algorithms, and perception methods can improve the autonomy, robustness, and precision of robotic manipulation in challenging environments. The project lies at the intersection of control
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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position through to March 2027 Base salary will be in
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characteristics is also appreciated. About our School In The School of Engineering and Informatics we cover the disciplines of computer, electrical and electronic engineering, mechanical, and automotive engineering
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design and operational strategies that enhance system flexibility, improve resilience to variable supply and demand, and minimize environmental impact. By drawing on interdisciplinary expertise (spanning
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Research Fellow (Software, AI & Autonomous Systems) Required Qualifications PhD in Robotics, Computer Science, Artificial Intelligence, Electrical, Computer Engineering, or related disciplines. Key
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the Strategic Funding 2025-2026, under the following conditions: Scientific Area: Computer Science and Engineering, Computer and Information security Admission requirements: BSc (Licenciatura) degree in Computer
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been translated into reliable prediction of biological function. Current measures such as model perplexity and structure recovery do not directly assess functional prediction. A key challenge is the