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Field
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at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post
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experiments independently from start to finish, trouble shoots, and optimizes methods. Analyzes, interprets, and presents complex experimental results. Performs statistical analyses. Understands models
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research experiments, assesses findings, and compiles comprehensive reports. Maintains instruments, develops new methods, and optimizes existing ones. Keeps meticulous records of procedures and research
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Postdoctoral Affairs. The FY25 minimum is $76,383. Integrating Natural and Cultural Data: Focus Area, Indian Ocean Data gathering, assessment, and modeling across disciplinary divides offers an optimal approach
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in adaptive immune systems (e.g., co-evolution of bacteria and phages, as well as T and B cells with pathogens). • Physics-informed machine learning of biophysical systems (e.g., developing optimal
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. Pay Range: 75,000-77,000K The Stanford Mineral-X (link is external) seeks a highly motivated and skilled postdoctoral scholar to join our research project on optimization of critical minerals
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to manuscript preparation, grant applications, and presentations at academic conferences. Maintain and optimize reproducible pipelines using tools such as DADA2, Kraken2, HUMAnN, and relevant statistical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
community; develop and optimize microbiology and molecular methods for the detection, quantification, and characterization of pathogens and/or microbial in collected samples; perform DNA/RNA extraction, PCR
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and characterize small-molecule inhibitors of transcription. Develops, validates, optimizes, and applies procedures for sample preparation, data collection, and data analysis. Prepares and characterizes
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funded by the National Science Foundation. The position is focused on performance analysis and optimization of the MILC code and the libraries it calls such as QUDA or Grid. The successful applicant can