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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
. Position Summary This Postdoctoral Research Associate will develop novel optical, electrochemical, colorimetric, lateral flow and wearable sensors for various pathogens and analytes. The Research Associate
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engineering, applied physics, applied mathematics, or a closely related field. At least two years of postdoctoral or equivalent post-Ph.D. research experience in fluid mechanics, acoustofluidics, multiphase
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integration of electrodes, membranes, flow-field components and sealing systems. Develop, commission and operate experimental test systems, integrating electrochemical devices with fluid-handling equipment
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integration of electrodes, membranes, flow-field components and sealing systems. Develop, commission and operate experimental test systems, integrating electrochemical devices with fluid-handling equipment
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inclusion—whether more or less viscous than the surrounding fluid—while noting a qualitative dependence on the flow type. The aim now is to explore mixing between two comparable masses (or volumes), focusing
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, [email protected] Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment process. For current UTAS staff, in submitting your application, you
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Statistics, as well as MS in Mathematics and MS in Data Science and Analytics. Current research interests in the Applied Mathematics group include: Fluid Dynamics, Biomathematics, Nonlinear PDE’s, Symmetries
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vessels, sealing systems, high-pressure fluid systems, and mechanical testing fixtures. To Apply: Applications must be made online at https://yourfuture.sdbor.edu . South Dakota Mines is committed
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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molten oxides at high temperatures; Modelling of heat transfer, fluid flow, mixing, and transport phenomena using multiscale modelling approaches combined with experimental validation. You will work