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at prediction and pattern recognition tasks but still fails at very simple planning and decision-making problems. This project will develop predictive and prescriptive analytics algorithms that combine
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efficient navigation algorithms for multirotor operations around vessels. The role will focus on integrating drone airspace-usage predictions with Vessel Protected Volume models, developing optimisation and
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this pool on an as-needed basis throughout the year and will be contacted if they are being considered for an open position. Individuals in these positions will design, develop, and deliver non-academic
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simultaneously provide reliable wireless connectivity and high-precision sensing. The objective is to develop localisation and sensing algorithms that achieve near-GNSS accuracy while improving robustness, energy
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, physical AI, and spatial AI. The RF will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the Physical Vision Group’s long
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for neurovascular interventions. The successful candidate will develop and evaluate medical imaging and artificial intelligence methods for vascular mapping and navigation using computed tomography (CT) and digital
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"Gheorghe Mihoc - Caius Iacob" Institute of Statistical Mathematics and Applied Mathematics of Romanian Academy | Romania | 2 months ago
Research Infrastructure? Yes Offer Description Participating in research and development activities by implementing, testing and validating biomedical data analysis methods, artificial intelligence and
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Python and/or C++. Experience with scientific software development is an advantage. An interest in quantum algorithms and the motivation to contribute to one of the world’s emerging research areas. Strong
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are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. We are now looking for a postdoctoral researcher in quantum algorithms and optimization for Life
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exploratory data analysis from complex and high-dimensional datasets. Uses a flexible, analytical approach to design, develop, and evaluate predictive models and algorithms that lead to optimal value extraction