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. Develop intelligent algorithms that allow cooling systems to be controlled based on sensor inputs, ensuring adaptation to different scenarios and operating conditions; 4. Integrate and validate
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advance scholarship on who is most often exposed to algorithmic persuasion, how different types of people cope and are affected, and how we can develop remedies to reduce negative consequences. By doing so
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12th December 2025 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Algorithmic Fairness in Recommender Systems Apply for this job See
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to: Quantum Computing Theory Quantum Algorithms Quantum Networking for Distributed Quantum Computing (As opposed to QKD) Quantum Machine Learning Quantum Sensing Quantum Applications Quantum-safe or Quantum
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implementing innovative signal processing algorithms for radar sensing and communication, establishing clear research objectives, and engaging in the collaborative projects. In addition, the position involves
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | about 1 month ago
on the primary data. They are often captured from multiple scans made from different locations to unspecified surface locations. This introduces novel sources of uncertainty while potentially reducing the impact
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invites applications for a Post-Doctoral Associate position, in the area of Quantum Algorithms. The candidate is expected to conduct research in computer science focusing on the combinatorial aspects
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initiatives, particularly in the field of Energy Systems - Energy Transition. The objectives are:; - Development and application of artificial intelligence algorithms for different use cases in the energy
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companies can make effective use of quantum computers in the future and is developing suitable software solutions, algorithms, and tools for these applications. Utilize state-of-the-art ML architectures
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Artificial Intelligence models for the accurate simulation of motor racing and for the generation of suggestions for effective racing strategies. The research fellow will explore different modelling approaches