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on full-time enrolment. Scholarship Details Eligible courses Students enrolled in an Honours or Master’s program in Computing, Data Science, Software Engineering, Electrical Engineering, or other related
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department in the Faculty of Science and Engineering. It is committed to achieving high-quality teaching, research and knowledge exchange spanning the disciplines of Chemistry, Biology, Environmental Science
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Qualifications Currently enrolled as an Auburn University graduate student in Electrical or Mechanical Engineering, Physics, or a similar field Strong technical background in one or more of the following areas
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an emphasis on technology, data science and the humanities. The Nutrition, Digestion, and Metabolism in A/Prof Sunny Wong’s Lab focuses on understanding the interplay between diet, metabolism, microbiome, and
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areas they wish to apply for (up to a maximum of 3). Health/Medicine Psychology/Education Engineering/Computing Arts / Creative Technologies Business International/Law Your role will include: Gathering
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-source software packages. As a Research Assistant, your primary duty will be to support the analysis of real-world data mapped to the OMOP Common Data Model, contribute to wider project planning, including
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further consideration as candidates: Education University degree in science, engineering, project management, or another field relevant to the duties of this position. Official designation as a Project
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. Washington Monthly Magazine ranks FIU among the top 20 public universities contributing to the public good. The Electrical and Computer Engineering department is currently seeking a Student Research Assistant
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or bipolar patients, in a compassionate and sensitive manner; Familiar with psychiatric questionnaires and interviews; Experience with computers and computer software including MS Word for Windows, MS Excel
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University graduate student in Electrical or Mechanical Engineering, Physics, or a similar field Strong technical background in one or more of the following areas: signal processing, advanced data analysis