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. The Research Fellow/Senior Research Fellow will develop localization and sensing algorithms, implement them on real hardware platforms, design and conduct measurement campaigns, and build demonstrable prototypes
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. Key Responsibilities: Responsible for development of robust and reliable manipulation algorithms for robot in complex dynamic environments. Robot platform and manipulation system hardware and software
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developing algorithms for robot navigation, path and trajectory planning, resource allocation, coordination, or distributed decision-making. Knowledge of wireless communication systems, communication-aware
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hybrid quantum-classical or quantum-AI approaches. Projecting short- to medium-term advances in hardware and algorithmic development for practical deployment. Salary Range: €47,273 - €53,925 per annum
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support developing quantum middleware solutions. Key Responsibilities: Perform quantum compilation optimizing towards successful execution on quantum hardware. Support research on quantum algorithms by
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software development, cloud computing, data engineering, algorithm design, or scalable computational workflows is a strong plus. Excellent written and verbal communication skills, with the ability to work
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: SAgE Find out more about our Research Institutes: https://www.ncl.ac.uk/ As part of our commitment to career development for research colleagues, the University has developed 3 levels of Research
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performance, and data and product quality. You will join the section in charge of sensor performance, data quality, algorithm development, and calibration and validation (Cal/Val) for the ESA EO missions
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multidisciplinary fields, participation in academic conferences, experience from scientific publishing and other personal and professional development. The project will be carried out at Luleå University
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
. Nutrition for Precision Health, powered by the All of Us Research Program is a new initiative to develop algorithms that predict individual responses to food and dietary patterns. The NPH Consortium consists