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data, field or lab experiments, text analytics, use of AI for big data). Output orientation: Demonstrated capacity to publish in top-tier scientific journals. Ideal (but not required) is experience with
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/PhD degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or related disciplines. Experience in project management, research administration
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the Acute Brain Injury leadership team, you’ll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets and manuscript
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. Knowledge of sustainability reporting frameworks (TCFD, TNFD, etc.) is a plus. Methods: Strong quantitative skills (econometrics, panel/archival data, field or lab experiments, text analytics, use of AI
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science, public health, transport studies, and data analytics. Key Responsibilities: Design, develop, and validate research instruments, including surveys, focus group protocols, experimental stimuli, and
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. The project seeks to advance the analysis of dynamical systems through the development of novel techniques in functional analysis, operator theory, ergodic theory, differential geometry, and/or data science
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to improving the care, treatment, and well-being of patients. The Department offers academic degrees at the bachelor’s (Bachelor of Medical Laboratory Science (BMLSc)) and graduate (MSc, PhD) levels with
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near completion), or equivalent PhD level qualifications. Experience of working in a trial or closely associated research High level analytical capability Ability to communicate complex information
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studies, and how information about benefits, harms, and uncertainty is communicated to clinicians, patients, and payers. We welcome applications from recent PhD graduates and postdoctoral fellows who
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external fundings when appropriate. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team