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microscopy, X-ray diffraction), high-temperature mechanical testing. You should have a strong motivation to conduct interdisciplinary research at the interface of materials science, data science, and
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We seek a Research Fellow with a proven publication record to develop resistivity models from marine controlled source electromagnetic (CSEM) data to be acquired in February-March 2026 and to
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a powerful tracer of ocean pH. Recent advances we have led apply laser ablation approaches to rapidly yield high spatial (and hence temporal) data in the form of 2D maps of the skeleton. These can
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research through publications, seminars, conference presentations and public engagement. The post will be full time until December 2026. By applying, you are agreeing that we can share your information with
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signal simulation frameworks for BSL gestures. Process skeletal motion data to drive simulation pipelines. Conduct radar experiments to calibrate and benchmark simulation outputs. Write academic papers
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considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior
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record, and leadership. A PhD in a health-related discipline is essential; a PhD in Psychology would be an advantage, and understanding of qualitative approaches will be useful. You will have excellent
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requirements We are looking for a candidate who meets the following essential criteria: A PhD (or be close to completion*) in Biotechnology, Engineering, Microbiology, or a related field or equivalent experience
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experience in deep learning, as well as: Demonstrable experience with the development of novel model architectures for deep learning applied to audio data; In-depth knowledge of deep learning, including recent
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the new technology works and compares with existing drugs with the aim of improving cancer treatments. You will be motivated, educated to PhD level in a relevant subject area and ideally have practical