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required to produce maps and perform simple spatial analysis for other members of the project. They will be involved in publications, with opportunities as both a first and co-author, and will also engage in
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on accelerating high-impact advances in human performance by leveraging the rapidly advancing fields of bioengineering, neuroscience, artificial intelligence, genetics, molecular biology, imaging, and regenerative
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applicants interested in developing a research program in the field of cancer biology are welcomed to apply. Expertise in the fields of molecular biology, cell biology, and genetics are expected. Experienced
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
and cosmology theory; and neutrino and nuclear astrophysics. UNC Chapel Hill has significant high-performance computing resources, including the 17,000-core Longleaf cluster optimized for I/O intensive
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. Specific duties include: Design and Performance of Research Experiments (75% of Time Spent) Mechanism based discovery of cancer therapeutics. Characterization of metabolic processes of leukemia stem cells
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of Computation, Information and Technology (CIT), located on the Garching Campus, starting October 01, 2025 or later. The group is seeking a highly qualified candidate for a postdoctoral position who possesses
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); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and
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monitoring and electric vehicle battery tracking. Integrate environmental and energy sensors with real-time data collection and analysis systems. Deploy prototypes in the field and optimize their performance
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independently and collaboratively within a research team Responsibilities Research: Develop and implement computational models (FEM) of shell structures under mechanical and electromagnetic loading. Perform
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on performance and available funding. The successful candidate will be highly motivated, interested in forging collaborative relationships with staff and faculty and have a strong commitment to evidence-based