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electronics) to process information efficiently. You will work at the intersection of mathematics, physics, electrical engineering and AI, helping to develop a theory that explains how and why these systems
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of reinforcement learning and popular modern reinforcement learning algorithms. Students will develop familiarity with both model-based and model-free reinforcement learning algorithms, including Q-learning, Actor
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information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care
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, transcriptomic, and proteomic datasets using open‑source bioinformatics software. The successful candidate will apply bioinformatics algorithms and statistical methods to interpret, analyze, and visualize large
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management systems (BMS). Ability to develop and implement algorithms for modelling, estimation, or control applications. Strong analytical thinking, problem-solving ability, and capability to conduct
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We are seeking a Research Associate to support research and development in grid-forming converters, power electronics, and advanced energy systems. The role involves designing, modelling
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
development and evaluation of algorithms and software systems that advance these practices in support of artificial intelligence. Education and Experience: Experience implementing informatics/bioinformatics
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for diagnosis and prognosis of different sarcomas. He/she will develop and train deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research
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within a Research Infrastructure? No Offer Description Group Leader in Quantum Algorithms and Machine Learning (f/m/x) Ref. Number: MAB/06/2026 Location: Warsaw, Poland Salary: 20 750 - 24 250 PLN/month
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. • Strong analytical skills and scientific rigor. • Ability to work at the interface between algorithm development and experimental validation. • Capacity to collaborate effectively in a multidisciplinary