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methods to improve the deployment, adaptation capabilities and safety of robots and critical infrastructures. The developed algorithms will be evaluated on legged robots, wheel-based robots and under
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University of Vermont Medical Center | South Burlington, Vermont | United States | about 23 hours ago
budgeting software application (Axiom). This includes but is not limited to loading, validating, and distributing financial data and KPIs within the application. The incumbent is responsible for accurate and
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Location: Luxembourg, Luxembourg 1511, Luxembourg [map ] Subject Area: Quantum LDPC codes with efficient decoding algorithms Appl Deadline: none (posted 2025/08/05) Position Description: Apply Position
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learn to develop algorithms to solve engineering problems, and the implementation of those algorithms in the C language. This course will include using C program for embedded devices for interacting with
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framework for developing advanced IT professionals. AI is inherently data-driven, shaped by large-scale, high-quality data and algorithms that efficiently learn from it. Data engineering and statistical
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validate advanced 5G features such as network slicing, MEC and xApp/rApp. Contribute to the development of innovative solutions and algorithms to enhance 5G network capabilities. Work closely with
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 hours ago
dedicated Engineers responsible for the actual implementations. Hence, your primary focus will be on the creation of sound algorithms and methods, ensuring their theoretical integrity and applicability
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learning, and generative AI Design and implement algorithms for quantum-inspired and quantum-enhanced generative models Investigate theoretical foundations of tensor networks, entanglement, and collapse
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project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU
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. The projects will also focus on applications and algorithms employing X-ray scattering models to uncover spatiotemporal correlations in ultrafast phenomena, particularly fluid dynamics, studied at the recently