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priorities Experience in developing and operating successful information analysis operations in an organisation of comparable size and complexity, including: Undertaking complex data gathering/information
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design and implementation of visual cues detection on video datasets (face and gesture), context-aware multimodal analysis, machine learning/self-supervised learning for automatically detecting subtle
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engineering of new or adapted components, systems and hardware to enable effective operation. It will then involve conducting analysis of device capabilities and performance. You will work alongside existing
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covering letter which addresses each element of the Person Specification with your application. Applications that do not include a Cover Letter will not be considered at shortlisting. For an informal
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operations delivery is the key component. To learn more about this exciting opportunity and benefits we offer, please read the JD and Candidate Pack provided below. Assessment Process: To apply, please submit
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. Project aims and objectives Aim: Develop methods for the analysis of ultrashort PFAS and use them to establish the risks from these emerging pollutants and the effectiveness of current remediation
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available in standard Virtual Reality (VR) can be supplemented with speech recognition, natural language processing, and sentiment analysis. We aim to embody this potential in the front end of the Emote VR
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science solutions in a business or research context, and experience of data transformation, data analysis and statistics. Ability to communicate complex technical information to non-experts and engage with
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available in standard Virtual Reality (VR) can be supplemented with speech recognition, natural language processing, and sentiment analysis. We aim to embody this potential in the front end of the Emote VR
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for a motivated researcher to contribute to high-quality research through the preparation, delivery, analysis and dissemination of experimental and/or field-based studies. You will play a key role in