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Field
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-quality data. The postholders will help support data analysis tasks and work on computational algorithms to help streamline data annotation. Image computing activities involve expanding on interactive
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information from ‘deep tissue phenotyping’ datasets. The successful applicant will have significant experience working with machine learning algorithms. They will have strong Python programming skills and
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photorealistic game worlds. To achieve this goal, we need advances in many areas, from light transport, sampling, geometry and material representations, and computationally efficient algorithms to display
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the swabbing procedure. Your key role within the team will be to develop a robotic swabbing system, conduct user studies for efficacy evaluation, and develop automatic swabbing control algorithms. You will have
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team. You will lead in the design and implementation of statistical and computational algorithms of different datasets, and implement novel algorithms within the framework of existing code, providing
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should operate in an AI context. The AI revolution has sparked ongoing debates that highlight the multifaceted role of AI and algorithms in shaping our world—in ways that engage deeply with law. Fully
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development of algorithms using modern machine learning libraries (mainly pytorch) and over the course of the project duration, the developed algorithms is expected to reach a medium to high TRL. The applicant
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-time sensing, multi-sensor fusion, and intelligent algorithms can jointly enable safer, greener, and smarter rail operations. Key research topics include eco-driving, environment cooperative perception
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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beginning in this role. We will require all candidates invited to interview to apply for NSTIx clearance. In this role you will: Design and test detection and estimation algorithms utilising artificial