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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time
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or numerical methods for solid-state physics or theoretical chemistry. We also expect experience in programming, motivation and independence in solving scientific problems. The candidates have to conform
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well as theoretical and numerical developments. The project provides opportunities to collaborate with both national and international collaborators, as well as exploring sustainability aspects of the technology. The
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of numerical methods for multi-physics application, specifically using Chimera/overset meshes and with applications to shocks Experience in programming in Python and C++, and in using scripting languages
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of operational and fiscal analysis and techniques. Ability to take initiative and plan, organize, coordinate, and perform work in various situations where numerous and diverse demands are involved. Skilled in
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steady and transient state, at scales ranging from nanometres to millimetres. Develop numerical methods to capture droplets evaporative behavior accurately Compare and validate numerical results with
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apply safety procedures. Ability to accurately sort, check, count, and verify numerical information. Strong time‑management skills with the ability to organize and prioritize work schedules. Ability
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methodical, rigorous, reactive, and attentive, with a strong work ethic and high integrity. He/she will already have experience with human stem cells, neuronal differentiation, as well as 3D culture, organoids
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and ML driven screening and optimization workflow to improve the generality of modern synthetic methods. Our first objective is to identify structural patterns and scaffolds that are accessible by
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Postdoctoral Research Associate position on the project: "Krylov subspace methods for non-symmetric PDE problems: a deeper understanding and faster convergence", https://gow.epsrc.ukri.org/NGBOViewGrant.aspx