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Field
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after stroke and use of high-risk medicines · Integrated health and aged care · Rehabilitation for older people The PhD will provide the candidate with skills in epidemiology, big data
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analysis, scientific computing, machine learning, data science, imaging, biology, nonlinear optics, and fluid mechanics. https://www.smu.edu/dedman/academics/departments/math. Many additional
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Big Picture Learning Credential (IBPLC) as a rigorous, equitable pathway into college admissions. The project — a partnership between Northeastern, Big Picture Learning U.S. (BPL U.S.), Big Picture
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fellow (m/w/d) starting autumn 2026. The position is for 2 years. The Chair of Data Science in Earth Observation develops innovative signal processing and machine learning methods, and big data
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This
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accepting applications for 1-2 fully-funded postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical
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accepting applications for 1-2 fully-funded postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical
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communication skills Expertise in geophysics, geotechnics and geomechanics Expertise in big data analytics Publication track record is an advantage Ability to work independently and develop solutions
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postdoc requires scientific qualifications at the PhD level in a relevant field. You must be able to demonstrate a track record in big data analytics in, or closely related to, the substance use field
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, algorithms and statistics. Familiarity with programming techniques for analyzing data sets and experience working with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software