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. Candidates must be able to independently plan, multi-task and complete projects. Ideally, the fellow will be expected to design and execute experiments, analyze data, write and prepare independent grant
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analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and safeguards University assets
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flagship undergraduate degree programmes in Mathematical Sciences, Mathematical Sciences and Physics, Financial Mathematics and Actuarial Science, and Data Science and Analytics, attract some of the highest
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communities, such as the human gut microbiome. This role will use a combination of microbiological, genetic and analytical techniques to isolate and engineer bacteria for use as next-generation probiotics
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. Congress and stakeholders with data and policy analyses focused on regional agricultural financial outcomes. Through a coordinated multistate effort, RaFF evaluates how policy decisions and innovations
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infrastructure. These efforts will directly enable innovative data analytical approaches, including federated and deep learning, with a focus on real-world data for rare cancers. This research will directly
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for analytical methods, protocols, and reports and provide training on processes and equipment. Supervise and co-supervise undergraduate and postgraduate students. Disseminate research findings through
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independently and collaboratively within a team. Applicants must have a PhD in materials science and engineering, chemical engineering, or related field. Excellent experimental and analytical skills relevant
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quantitative experience in various types of analytic techniques appropriate for longitudinal data. Experience writing academic manuscripts and preparing a grant application is also preferred. Applicants
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working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition