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and atomic experimental physics. Our lab focuses on developing scalable quantum processors using neutral atom arrays, with a strong emphasis on bridging theoretical innovation and experimental
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 2 days ago
simulation infrastructure (e.g., event scheduling, time management, state tracking) and domain logic (e.g., such as workload-management strategies, performance metrics collection). •Development of a reusable
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intensive and has a strong tradition of research-led teaching. The School offers undergraduate majors in computer science, information systems, data science and software development within its flagship
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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techniques and algorithms to be used in the field of optical communications, with particular focus on quantum systems Where to apply Website https://www.santannapisa.it/it/assegni-di-ricerca-e-selezioni
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of Computation Group, seeks applicants for a postdoctoral fellowship to conduct research in differentially private learning, its connections to replicability of algorithms, and algorithmic fairness. Basic
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to the scientific and technological development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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of precipitation and temperature over Morocco. Key Responsibilities: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for forecasting precipitation