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relevant PhD/DPhil (or near completion*) in Computer Vision or Machine Learning. You should have a strong publication record at the principal international computer vision and machine learning conferences
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10 people), working on the open source software NOMAD . As a postdoctoral researcher, you will also be involved in research on method development for machine learning algorithms and advise PhD
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of radiological and histological images. Their work includes applying machine learning and artificial intelligence for tasks such as predicting treatment responses in different types of cancers and automated image
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An opportunity to lead work on materials design and discovery for an exceptional researcher with experience in developing and applying Artificial Intelligence and Machine Learning tools to materials
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foreign degree equivalent to a PhD degree, within machine learning, signal processing, computer vision, computational statistics or another nearby and relevant field. The degree needs to be obtained by
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: PhD in one of the following fields, or closely related: machine learning, computer science, applied mathematics, statistics, signal processing, acoustics, bioacoustics Experience in training and
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making algorithms. The position might also include teaching, maximum 20 %. Requirements: PhD degree or a foreign degree equivalent to a PhD degree, within machine learning, signal processing, computer
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transcriptomic readouts from cells - already produced, using diverse sequencing methods including long-read nanopore-sequencing with a protocol developed by the group - with of machine learning methods. We aim
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using X-Ray images. The successful candidate will be responsible for conducting cutting-edge research in machine learning and computer vision applied to medical data. Responsibilities: Conducting research
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imaging data, using conventional analyses and machine learning, to provide new evidence of pathogenicity of proteins and pathways across MSK diseases. You will provide bespoke statistical analysis plans