205 algorithm-phd-"INSAIT---The-Institute-for-Computer-Science" positions at KINGS COLLEGE LONDON
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and access appropriate training and professional growth. About the role We are delighted to invite applications for a PhD training fellowships at the Cicely Saunders Institute, King’s College London as
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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for this role. This role will involve developing and applying analysis plans using a variety of advanced methods with the support of project supervisors. The postholder will have completed a PhD in a relevant
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(PSDM) techniques to reduce wiring complexity, and optimise signal demodulation algorithms for accurate, real-time battery monitoring. The position will be based in the Department of Engineering, King’s
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the new hardware. You will also have the opportunity to mentor PhD and MSc students working in Professor Rajendran's group. This is a full-time post (35 hours per week), offered on a fixed-term contract
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to have the following skills and experience: Essential criteria PhD qualified in relevant subject area Extensive experience working in bioinformatics with large datasets Previous experience in statistical
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for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD degree in Engineering, Computer
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study team to help curate high-quality data. The postholders will help support data analysis tasks and work on computational algorithms to help streamline data annotation. Image computing activities
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and accurate registration of ultrasound scans of 3D-printed human skulls to MRI/CT head scans. The research associate will develop anthropomorphic head phantoms and algorithms for fast and accurate
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socioeconomic impacts of artificial intelligence (AI), gender bias in algorithms, critical analyses of fintech, dynamics of platformisation, the emergence of digitally enabled forced labour, biometrics and