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, in collaboration with the team responsible for the development of the ApneaScreener algorithm. Knowledge of data analysis tools, particularly Python and R, will be valued to support the interpretation
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. Specific responsibilities include, but are not limited to, the following: Develop the core tensor network algorithm for full RIXS cross-section simulations. Benchmark simulation results against ED codes
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Engineer to conduct research on air traffic management (ATM) algorithms and
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the activities of GT3. The initial phases will focus on studying the ideal frameworks for creating the IT platform and developing AI algorithms for data analysis. In particular, the data storage structure will be
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Yan and is expected to play a leading role in the development of a new ultracold neutral-atom quantum processor. In this experimental apparatus, quantum information will be stored in both the motional
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logical perspectives. Key areas of interest include proof complexity, circuit complexity, communication complexity, meta-complexity, and their connections to algorithms. Lund University is located in
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Prof. Neil Walton (Durham University, UK). The general aim of this project is to develop throughput-optimal entanglement distribution algorithms (both centralized and decentralized algorithms
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research arm and data collecting activities. PM will be active in development of hands-on training units. This involves purchasing of equipment and scheduling of training units. The PM will also oversee
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theory and experiment to harness the power of AI/ML in developing new quantum algorithms and AI-assisted quantum systems. Areas could include AI-driven quantum networks; quantum circuits and control
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of control software and data management systems for the automated laboratory. Development and deployment of AI algorithms for adaptive experimental planning, optimization of experimental space, and automated