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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
Simulation Laboratory (https://griffith.web.unc.edu). This position would support projects on (1) cardiac digital twins for heart failure and/or (2) cardiac fluid dynamics simulation software development in
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data. Implement, test, document, and maintain research software; integrate trained models with surface-hopping and related nonadiabatic or path-integral workflows and with relevant simulation-code
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datasets, you will develop innovative methods and open-source software to accelerate meaningful impact for growers. Join TEAM-AI to translate cutting-edge analytics into practical solutions for global food
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reanalysis. The work will be performed in close collaboration with researchers at the Nansen Center. The fellow will be an active member of the Dynamics and Prediction team, as well as the NorCPM developer
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ASIC implementation. You will carry out system modelling, design novel parallel processor architectures at the RTL level (using Verilog/SystemVerilog or VHDL), and drive the hardware-software co-design
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developing reproducible research software or conducting large-scale computational experiments. Familiarity with modern machine-learning frameworks, scientific-computing tools, or AI-assisted research and
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development of improved software workflows for biomarker data generation and for geoscience process modeling, conduct field work and synthesize existing data for model calibration and database synthesis, co
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external funding applications. Minimum Qualifications Ph.D. degree in the field of Biological Sciences.Experienced in cellular and molecular biology; Experienced in using graphics and statistical software
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increasingly autonomous and agentic models. The research will examine frontier AI systems that interact with operating systems, APIs, software tools, other agents, and complex environments, moving beyond text
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candidates working in formal methods and/or computer systems with interests in one or more of the following areas: machine-checked verification of systems software, GPU kernel semantics and verification, and