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strongrecord of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering orrelated field at the start of
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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About the Opportunity This job seeks a research assistant to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: 1) Developing machine-learning based exoskeleton controllers to work across tasks 2) Designing and...
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models combining machine learning, and physics-of-failure (PoF) approaches using in-situ data • You work on projects independently • You will present your work at international conferences and
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of retinal degeneration. Online Application Required Documents Curriculum Vita Name and Contact Information of References Letters of Interest Number of References: 3 To start the Online Application process
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collegial Department (29 faculty) that nucleates a larger interactive community (nearly 100 faculty). We support an exceptional Graduate Training Program, host two training grants, a robust weekly seminar
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to develop your knowledge and skills on autonomous cubesats with impactful applications in planetary defence. You should have a PhD (or near completion) in space engineering, computer science or an equivalent
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contributing to grant proposals. • Participate in teaching undergraduate courses (6 credit hours per year) Qualifications • Ph.D. in Operations Research, Industrial Engineering, Computer
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with the review process. You may upload these documents on the application under CV/Resume. Why Texas A&M University? Texas A&M University is committed to enriching the learning and working environment
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research, we utilize a variety of wearable devices including smartwatches, smart rings, and fitness trackers to measure additional variables of interest such as heart rate, heart rate variability, physical