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engineer or computer scientist to establish a robotic platform for autonomous experimentation in organoid culturing. You will work with life scientists to design, integrate, and establish the platform’s
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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to develop and optimize protocols for various ‘omic techniques (single cell transcriptomics, proteomics, etc.) and other techniques for assaying protein function in non-model organisms at different life stages
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our
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on creating and optimizing state-of-charge (SOC) and state-of-health (SOH) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities
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yield optimization. Exposure to quantum chemistry (DFT) and molecular simulations is a plus. Experience with cloud computing and/or high-performance computing (HPC) resources. Application Process
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of non-native species in forests, economic optimization of forest biosecurity, and the global impacts of invasions on global forest ecosystem processes. We encourage applications from candidates of all
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. The candidate should have a strong background in process modeling, control, optimization, applied machine learning, and AI. City: Cranbury State: NJ Location: Off Campus Create a Job Match for Similar Jobs About
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• Design, execute, and interpret experiments to investigate molecular mechanisms of circadian nutritional compensation in fungal and mammalian systems. • Develop and optimize experimental protocols in
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to): Radiochemistry of small molecule molecular imaging probes to interrogate tumor biology and predict response to therapy. Optimize and characterize imaging agents for preclinical and translational cancer studies