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Field
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through our five departments: Chemical & Materials Engineering; Civil & Environmental Engineering; Computer Science & Engineering; Electrical & Biomedical Engineering; and Mechanical Engineering. Each
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infrastructure for Postdoctoral Research Associates to be involved with interdisciplinary team science projects for development of their program of research. The purpose of the two-year in-person post-doctoral
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Classification Title: Post-Doctoral Associate in Chemistry Classification Minimum Requirements: Ph.D. in chemistry or a closely related field Job Description: We have a position available in our
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potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute to the preparation of research reports, peer-reviewed manuscripts
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potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute to the preparation of research reports, peer-reviewed manuscripts
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 26 days ago
, and easy to extend and develop. REQUIRED: Ph.D., in applied mathematics, atmospheric or oceanic sciences, computer science, engineering, physics, statistics, or a related field by the date of hire
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Massachusetts Institute of Technology, MIT Kavli Institute Position ID: MIT -MIT Kavli Institute -PAEILERS [#30539] Position Title: Position Type: Postdoctoral Position Location: Cambridge
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in Robotics, Computer Science, Aerospace Engineering, or related field Demonstrated expertise in SLAM, preferably aerial SLAM projects Strong programming skills in C++ and Python with ROS/ROS2
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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be
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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order