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Field
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Computer Science (EECS)/Energy Systems Innovation Center (ESIC) to develop high-fidelity grid-forming inverter models and high-voltage direct current (HVDC) models, and investigate their impact on the power
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
: speech processing, computer vision, machine learning, solid programmming skills interest in connecting AI with human cognition Prior experience with LLM, SpeechLMs, RL algorithms, or robotic platforms is a
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Deadline 23 Jul 2026 - 22:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 2 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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languages. The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
strategies, signal processing algorithms and simulation platforms for goal-oriented semantic wireless systems. Drive a high-impact ARC Discovery Project aimed at advancing sovereign telecommunications
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Applications are invited for a 24-month research assistant position in the field of Aerial Robots at the Department of Electrical and Computer Engineering, Aarhus University, Denmark. Expected start
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quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational methods to study multiscale
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-grade algorithms. Demonstrated ability to work on complex data analysis problems and deliver robust computational solutions. Excellent communication skills and a strong interest in interdisciplinary
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and human-based leadership. As organizations increasingly blend algorithmic and human decision-making, fundamental questions arise about how leadership operates, adapts, and creates value in this new