929 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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Posting Description POSTDOCTORAL ASSOCIATE, Civil and Environmental Engineering (CEE) – Howland Lab , is a one-year Postdoctoral Scholar position supported in part by the flagship MIT Climate Grand
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travel to meetings to present their work. Job Requirements REQUIRED: PhD in Astronomy/Astrophysics, Computer Science, Physics, Chemistry, or related field; demonstrated expertise in Python and significant
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materials from complex feedstocks to achieve the desired product quality and form. As a part of this team, you will: Apply electrochemical engineering principles to develop processes such as oxide reduction
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the past five years or soon-to-be completed in physics, materials science, chemistry, engineering, or a related discipline. Demonstrated expertise in one or more synchrotron X-ray methods such as BCDI, XPCS
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fellowships from highly qualified candidates interested in any aspect of marine sciences, oceanography, coastal/ocean engineering, marine policy and management, or maritime affairs. Expectations
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contribute to open-source code repositories and documentation. Position Requirements Required skills, knowledge and qualifications: PhD in physical oceanography, coastal engineering, computational science
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Description Duties/Responsibilities : - Develop and conduct research activities on novel genetic technologies capable of influencing the transmission of engineered transgenes in insects. Duties will include
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open data and computational resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects
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converter degradation/failure analysis. Brief Description of Duties: The Postdoctoral Associate will support the Principal Investigator, Dr. Fang Luo , in the Department of Electrical and Computer Engineering
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(but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing Programming