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Missouri University of Science and Technology | Rolla, Missouri | United States | about 12 hours ago
gland fibrosis. The candidate will develop and execute using cell culture and vertebrate animal testing, data analysis, manuscript preparation, presentation of results, and working with collaborators and
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motivated and organized researcher with the following qualifications:Responsibilities*Explore, collect, and preprocess various sources to develop domain LLM training and test datasets*Design and implement
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experience with software radios, 5G user equipment, VPNs, Tor, or other hard- and software relevant to the described systems an networks Up-to-date software development and machine learning skills, incl. work
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energy systems model. By focusing on a few country test cases (e.g., US and South Korea), this multi-scale modeling framework will be used to analyze the interacting drivers for energy decisions across
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analysis using data software is required (e.g., SAS, STATA, R, etc.). Qualifications: Doctorate degree in Epidemiology (or related field) from an accredited university by the start date required. Knowledge
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analysis software (e.g., SPSS, R, NVivo) is highly desirable. · Publication Record: Evidence of scholarly productivity, including publications in peer-reviewed journals. · Communication Skills: Strong
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. This will include participant recruitment and communication with families, preparing and running testing sessions, managing and processing data, and contributing to protocol development and refinement. You
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and arid conditions Test, introduce and upscale new and alternative resilient crops Field preparation and establishment of field trials Conduct controlled trials under greenhouse conditions testing crop
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, including integrating renewable generation, battery-energy-storage systems (BESS) and supercapacitors, to deliver resilient low-carbon power solutions. To design and implement a scalable, modular software
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or projects under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece of research