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planning and operations, and the interaction with other infrastructures. Some of these tools will require the development of underlying optimization methodologies and analytics frameworks. The successful
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
Future Energy Systems Center . Find the full job description here . REQUIRED: Ph.D. in chemical engineering or other related engineering field; expertise in lifecycle assessment, technoeconomic analysis
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, and performance review. Technical supervision on evapotranspiration modeling and crop water demand will be provided by the Senior Research Engineer (AgriLife) and the Agricultural Engineer (USDA-ARS
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, interpretation and control of experiments in a multi-disciplinary cellular, molecular and engineering research laboratory. Characteristic Duties and Responsibilities Help to design and plan experiments for various
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priorities and work demands. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant
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Qualifications & Skills: - Academic background in analytical chemistry, chemistry, food chemistry, or chemical engineering - Strong experience with GC-MS, preferably in food or biological sample analysis
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of results in scientific journals Requirements: PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods
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, Assistant Professor of Electrical Engineering Research Project Description: Hydration of the body is a critical physiological health indicator, but it is challenging to measure accurately, especially in a
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chemical discoveries for renewable energy, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing
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: Experience of genomic data analysis, mammalian genomics and software development are required. Prior experience in machine-learning/AI and cancer research are preferred. Candidates who are self-motivated