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Engineering Education, STEM Education, Engineering, Computer Science, or a related field. Demonstrated expertise in quantitative, qualitative, or mixed-methods research methods. Experience with human subjects
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering, to perform cutting-edge research on projects centered around machine learning models for Computer Aided Design and Engineering
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. The successful candidate will be joining the international QTWIST program that includes new joint laboratories of Prof. Jarillo-Herrero (MIT) and research groups of Prof. Adrian Bachtold, Prof. Carmen Rubio Verdú
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relevant fields: Transport engineering; Energy system; Electrical engineering; Computer science or other subjects or an equivalent foreign degree. This eligibility requirement must be met no later than
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Apply now Job no:540754 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate The Opportunity: The School of Photovoltaic and Renewable Energy Engineering (SPREE) has
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research within an institute dedicated to engineering biology at an unprecedented scale. In this role you will support an internationally competitive research programme, leveraging GBI’s exceptional
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State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University. | Spain | 14 days ago
& Intelligent Precision Therapy, Clinical Research & Big Data in Ultrasound Therapy. Required Disciplines: Physics, Electronics, Instrumentation, Materials, EE, Biomedical Engineering, Computer Science, Mechanics
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Professor; Dean of the Physical Science and Engineering Division; Chair of CREST), a Highly Cited Researcher in Materials Science and Fellow of MRS, APS, IEEE, NAI, IoP, RSC, and IMMM. About KAUST: KAUST is
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all aspects of these complex problems. In the Composites Lab, you will find skills ranging from theoretical mechanics, applied mathematics, and computer science to material science and chemical
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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This