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methods at the density-functional and dynamical mean-field-theory levels, metal-insulator and structural phase transitions, quantum critical points, nonlinear and anomalous responses, optical traps, quantum
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: Focus Data science and/or statistical methods development addressing questions of health, technology, housing, education, innovation and others impacting national and international urban communities
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to IDRIS Experience in analyzing real data Strong programming skills Familiarity with statistical methods Excellent communication and writing skills City: Newark State: NJ Location: Rutgers University-Newark
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, the associate will support mixed methods data collection and analysis (surveys, interviews, and community-based systems dynamics modeling), coordinate community engagement activities, manage relationships with
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opportunity to contribute to cutting-edge research in the development of clinical trials, self-management science, acute/chronic disease management and pain mechanisms and methods under the mentorship
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focus on the treatment needs of individuals with chronic pain and opioid, tobacco, and other substance use disorders. Mentorship for developing research ideas, designs, and methods, conducting clinical
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opportunity to work on developing and validating smartphone and smartwatch applications aimed at improving human movement, rehabilitation, and fitness engagement. An important component of this position will be
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reinforced concrete structures, using mechanical, acoustic, electromagnetic, electrical, and electrochemical methods and devices, such as ultrasonic methods or GPR, 2) application of numerical simulation and
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on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches for coupling functional
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-molecule fluorescence, and bulk biochemical methods will be used to investigate how these motor proteins convert the energy from ATP hydrolysis into mechanical work in order to promote pre-ribosomal folding