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Field
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movement data Minimum experience: 5+ years of research within an Ophthalmology laboratory PhD in Visual Science or a similar field n/a The University of Pittsburgh is committed to championing all aspects
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techniques to combine data from multiple sources, integrating both visual and textual information to deepen our understanding of patient health. This studentship offers a unique opportunity to contribute
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CFD, turbulence models. Experience in visualizing and analyzing simulation data and interpreting results. Strong written and verbal communication skills in English The following experience will
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. Experience in data processing and visualization is an advantage. Experience in conducting incubation experiments and operating instruments for continuous measurement of gases dissolved in water would be
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well as willingness to take part in the organisation and execution of field expeditions at sea are required. Experiences with data processing and visualization are advantageous. We expect very good English language
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the effectiveness of an audio/visual online coaching programme that leverages digital health technologies as part of a novel intervention that can be easily accessed by a wide audience. This will be compared with
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This project investigates the brain and psychological outcomes of a behavioural change intervention for weight loss. The aim of the randomised controlled trial is to evaluate the effectiveness of an audio/visual
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to investigate how employing visual, acoustic, and tactile stimulation on simple behavioural tasks could lead to improvements in cognitive functions such as working memory and selective attention, as well as brain
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, addressing vulnerabilities such as manipulation of virtual movements, distortion of critical visual indicators, identity theft, and online safety threats. The work will also include active generation and
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, audio prompts, visual overlays, physical affordances, decision trees, or conversational tools What criteria would guide your design approach? Would you prioritise ease of learning, error reduction