25 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UCL" positions in United Kingdom
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designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
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technologies for patient benefit. The post holder will play an active role across components of the theme. We believe that integrating artificial intelligence (AI) algorithms and state-of-the-art monitoring will
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processes that use data-driven machine learning. Given the span of the IN-CYPHER programme, we are seeking multiple motivated research fellows. Unique in its scope, we are developing technologies that span
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processes that use data-driven machine learning. Given the span of the IN-CYPHER programme, we are seeking multiple motivated research fellows. Unique in its scope, we are developing technologies that span
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leading independent higher education provider, offering flexible and inclusive learning across multiple London campuses. We are student-focused, digitally forward, and committed to academic excellence
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leading independent higher education provider, offering flexible and inclusive learning across multiple London campuses. We are student-focused, digitally forward, and committed to academic excellence
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Research Software Engineer ( Job Number: 25001271) Advanced Research Computing Grade 7: - £38,784 - £46,049 per annum Open-Ended/Permanent - Full Time Contracted Hours per Week: 35 Closing Date : 21
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-sensitive data augmentation and mining Manage multiple stakeholders, meet deadlines, and integrate project outputs into DeltaXignia’s workflows with training Balance technical development and commercial goals
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demonstrated ability to work within a geographically distributed networks of collaboration Proven experience in developing and implementing machine learning models and algorithms, ideally in the healthcare
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demonstrated ability to work within a geographically distributed networks of collaboration Proven experience in developing and implementing machine learning models and algorithms, ideally in the healthcare