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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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required Job Summary This position involves the design and implementation of novel methods for processing unstructured text (such as clinical documents) and semi-structured data (such as address data
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and unstructured data in the electronic health record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in
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running PhD project. Partly existing database will be used and extended to develop image processing pipelines and models for the automated evaluation of 3D data sets towards answering clinical research
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scientific publications during the project. Methods / Means Python, PyTorch, self-supervised learning, multi-sensor data processing and Git. Applicant Profile PhD in machine learning, applied mathematics
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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• Completed doctorate/PhD in a mathematical branch of study • Solid knowledge of one of the following fields: mathematical methods, analysis and numerics in imaging, inverse problems or data sciences
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, scalability, and solution quality for tasks such as: Similarity search and nearest-neighbour queries Graph and routing optimisation Large-scale data processing Intelligent and educational analytics
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, scalability, and solution quality for tasks such as: Similarity search and nearest-neighbour queries Graph and routing optimisation Large-scale data processing Intelligent and educational analytics
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including