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to): Assists with grant preparation and reporting. Prepares and submits papers on research. Assists in the design of research experiments. Evaluates research findings and assists in the reporting of the results
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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of the Principle Investigator, the primary purpose of the Postdoctoral Associate position is to perform specialized research activities and design and execute advanced experimental procedures in an immunology
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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/benefits-overview . Posting Summary The incumbent will will design projects and experiments, carry them out and analyze the data, write manuscripts . He/She will perform experiments on thier own with minimum
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and design experiments Ability to follow and maintain protocols when handling hazardous materials. Excellent verbal and written communication skills. Ability to maintain an accurate lab notebook and
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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the design of a new radiochemistry laboratory course, including: Development of hands-on experiments. Creation of comprehensive lab manuals, SOPs, safety protocols, and assessment rubrics. Coordination
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-on experience with advanced manufacturing techniques and exposure to real-world engineering challenges. The position is ideal for candidates seeking to bridge fundamental research with applied innovation in a
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), structural health monitoring, and smart manufacturing systems Design and execute experiments involving ultrasonic, electromagnetic, and other material testing techniques Develop and apply computational models