30 parallel-computing-numerical-methods Postdoctoral positions at New York University
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computational chemistry focus. Successful applicants will be highly motivated with an interest in working in Chemical/Structural Biology and must hold a Ph.D. degree in a related field (Chemistry, Biochemistry
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responsible for conducting numerical and theoretical studies of turbulent flows and their associated geometric structures, focusing on passive and active scalar fronts, multiphase mixing layers, and
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methods, such as XRD, SEM, TGA/DSC, NMR, or synchrotron-based techniques for hydration/carbonation studies is required. Experience with Portland cement, reactive MgO cements, belite-calcium sulfoaluminate
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, execution, and data interpretation) Numerical modeling and simulation to complement physical experiments Preferred) Proficiency in CAD and modeling tools such as SolidWorks for experimental design and
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contribute to impactful health policy and aging research. This position is embedded within a federally funded mixed-methods study examining the effects of the Paycheck Protection Program (PPP) on staffing
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wearable setting. Dehydration of workers lead to performance drop, and stroke by dehydration poses serious risks in construction sites. Current wearable methods for detecting dehydration are typically based
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Post-Doctoral Associate in the Center for Translational Medical Devices (CENTMED) - Dr. Panče Naumov
modification of implants through methods such as plasma treatment, silanization, and the application of specialty coatings to impart corrosion resistance. Additionally, the candidate will develop polymeric
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of vibrotactile feedback as a guidance method for helping patients with more synchronized movements. Responsibilities of the Position (Bullet points) To conduct literature review about technologies for gait
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; this includes high-level familiarity with causal inference, experimental methods, and econometric techniques. Familiarity with public opinion research and experience working with historical sources would be
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and brain that explain vision loss, building on our previously-developed method linking clinical, neural and behavioral data (Allen et al., 2018; Miller et al., 2019; Pedersini et al., 2023). We combine