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Field
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should be directed to Alex Frie (afrie@umn.edu) Qualifications Required Qualifications: Ph.D. in atmospheric science, environmental science/engineering, chemistry, geography, or a related field
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production target materials. This involves the development of experimental plans to examine material properties such as thermal diffusivity, thermal conductivity, and thermal expansion – material properties
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Computer Science, Electrical/Computer Engineering, AI/ML, or a closely related field. Demonstrated experience in AI/ML model development, LLM tuning, generative AI, functional safety and risk analysis. Proficiency
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Fellowship Type: Postdoctoral Location: Ithaca, New York 14850, United States of America [map ] Subject Areas: Electrical Engineering and Computer Science Animal Science Forestry Chemical and Biomolecular
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month ago
status Questions about this opportunity? Please email npp@orau.org Qualifications PhD in electrical engineering or a closely related field. Previous laboratory and/or field experience. Experience
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: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in integrating several of the following
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, Skills, and Abilities: Ph.D. in Physics, Applied Physics, Optics, Mathematics, Electrical Engineering, or a related field. Demonstrated experience in optical or X-ray experiments, or related experimental
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diseases. Dr. Salehi has pioneered a laser interstitial thermal therapy mouse model and previously studied blood-brain barrier breakdown in patient-derived xenograft mouse glioma models. His current focus is
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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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Dynamic GRNs from scRNA-seq + scATAC-seq Cell state-specific causal GRNs from population-scale scRNA-seq We continue to push the boundaries of reverse-engineering molecular interactions from observational