43 condition-monitoring-machine-learning Postdoctoral positions at Northeastern University
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About the Opportunity This job seeks a postdoc to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: Developing machine
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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internally funded grant development and application activities connected to machine-learning-driven approaches to low-cost, low-carbon structural design. Additional Information The College of Arts, Media and
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University is seeking a Postdoctoral Research Assistant to support internally funded grant development and application activities connected to machine-learning-driven approaches to low-cost, low-carbon
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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expected to develop and lead projects. Ideal candidates will have knowledge of population genomics, machine learning, and evolutionary theory. Candidates should have a strong track record of publication; be
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Physical Biology Lab and/or to pursue individual projects in each lab. The Project Environmental issues are currently among the most pressing facing humankind. As such, understanding how students learn about
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, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 108S Expected Hiring Range: $59,425.00 - $83,935.00
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), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral researchers who aim to take leading roles in projects
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific