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state-of-the-art verification techniques and tools for scientific software. The project is part of a program, sponsored by the U.S. Department of Energy and the U.S. National Science Foundation, named
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Job Title Postdoctoral Research Associate Agency Texas A&M University Health Science Center Department Environmental And Occupational Health Proposed Minimum Salary Commensurate Job Location College
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dark-field STEM imaging, energy dispersive X-ray spectroscopy (EDS) and electron energy loss spectroscopy, at the intersection of electron microscopy, software engineering and machine learning. Major
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work on topics related to AI, meta-analysis of scientific literature, and trustworthiness in AI. The scholar will have deep expertise in AI, meta-analysis, and/or social science. As part of their role
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Submit grant applications to support new avenues of research QUALIFICATIONS Ph.D. in Marine Science or related field Experience with phytoplankton identification, preferably including marine taxa
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data science, and/or public health or related fields including health services research, health informatics, computer scienceExperience in data analysis using statistical software & machine learning (e.g
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commuting to the assigned work location when necessary. Qualifications We Require: PhD in engineering, physics, applied mathematics, computer science or other relevant field Ability to obtain and maintain a
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Position Summary The Mass Spectrometry Technology Access Center (MTAC) at WashU Medicine in St. Louis is seeking highly motivated applicants for a postdoctoral position with an immediate start date
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College of Agriculture and Life Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program
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: -Excellent verbal and written communication skills. -Ability to analyze data and write reports. -Ability to utilize a computer and applicable software. -Ability to multi task and work cooperatively with others