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expertise in artificial intelligence, computer vision, human-computer interaction, and psychology. Its technical core lies in developing robust and adaptive visual speech recognition models. Close
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simulation, computer vision, and advanced statistical methods for their analysis. The project also involves close collaboration with industry partners such as shading system manufacturers to develop nature
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; [email protected] To apply, candidates should submit the following via email to Camilla Devitt, Associate Professor ([email protected]) in a single pdf: 1. A motivation letter clearly indicating motivation
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and execute experiments in genomics (RNA‑seq/ATAC‑seq/ChIP‑seq), proteomics and recombinant protein expression/purification. Design and perform cellular assays. Maintain accurate electronic lab records
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Submit your application through the “Send application” button on this vacancy’s page in BI’s electronic recruitment system. Please consult BI’s PhD application guidance and upload the following: A cover
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on this vacancy’s page in BI’s electronic recruitment system. Please consult BI’s PhD application guidance and upload the following: A cover letter explaining your motivation and relevant
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contact details of 2 referees (including email addresses), to:- Lorina Naci [email protected] Please see the Job Description below for this position. Our Values - putting our words into action Values
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and machine learning methodology to help deal with key challenges in developing such models in large-scale observational electronic healthcare record data. These models will be applied to important real
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motivation Testing whether the system performs equitably across cultural and language groups Training spans intervention design, trial methodology, human-computer interaction, and applied machine learning
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Alert When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and