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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
-methods project includes use of nationally representative surveys, literature reviews, causal loop diagramming, an expert elicitation process, and simulation modeling. The postdoc will take part in study
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The postdoctoral scholar will work with Professor Zhaohuan Zhu to carry out Hydrodynamic, MHD, Radiation-MHD simulations, or simulations with simple chemistry on the inner protoplanetary disks and study various
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Penning trap or a multi-reflection time-of-flight mass spectrometer. Familiarity with the astrophysical rp and r processes. Familiarity with neutron-star physics and astrophysical simulations The duties
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to support a two-year Small Business Technology Transfer project (STTR) funded by the National Science Foundation. The successful candidate is expected to support the development, simulation and
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datasets for cooling demand profiles at individual dwelling and community levels, devising methods for forecasting cooling demand, and using specialist software to simulate community level cooling demand
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performing experiments; Processing of research results and proper archiving; Strict adherence to the code of ethics of Polish Academy of Sciences employee; Compliance with the regulations and directives
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(e.g., laser systems, modulators, optical signal processing). Proven independence in research, with a track record of creative problem-solving. A curiosity-driven mindset, eager to explore uncharted
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-reviewed publications considered by the candidate as most important for this position. Please note that a copy of each publication must be attached as a pdf file. It is permitted to merge copies
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, nuclear structure, neutrino physics, and fundamental interactions. The nuclear astrophysics part of the research is related to the newly established Centre of Excellence in Neutron-Star Physics (https
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following thematic areas: • AREA 1: Machine learning and AI-driven methods for design, simulation, and optimisation in architectural and construction engineering. • AREA 2: Robotic and additive