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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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prototype integration to translate sensor outputs into clinically relevant protein biomarker data. The role will involve laboratory-based experimentation, data analysis, and active contribution to scholarly
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contributing to ethics applications, conducting literature reviews, assisting with participant recruitment, engaging in qualitative and/or quantitative data collection and analysis, and preparing manuscripts
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to ethics applications, conducting literature reviews, assisting with participant recruitment, and engaging in qualitative and quantitative data collection and analysis, and preparing manuscripts
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of experiments, analysis of neuropsychological and cognitive data and application of computational models. It also contributes to scientific publications and supports collaboration within a network of researchers
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extraordinary ideas - and the people who discover them The Opportunity This is your chance to join a vibrant and forward-thinking team in the Department of Data Science and Artificial Intelligence, part of
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demonstrate a strong commitment to confidentiality and information handling, work collaboratively with colleagues, and show proficiency in Microsoft Office and University software, with a willingness to learn
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and statistics, with expertise spanning time series analysis, Bayesian inference, financial econometrics, and data analytics. As home to one of the strongest forecasting research groups worldwide, we
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problems, such as phase retrieval or ptychography; and/or (iii) aberration-corrected scanning transmission electron microscope data acquisition and analysis. If you would like to join us in pushing the
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and research protocols in compliance-focused environments. Advanced computer skills with experience using Microsoft Word, Excel and PowerPoint; specific experience in working with a range of analytical