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Employer https://main.hercjobs.org/jobs/22167044/post-doctoral-associate-in-the-division-of-engineering-x28-electrical-and-computer-engineering-x29-dr-qurrat-ul-ain-nadeem Return to Search Results
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 15 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 3 hours ago
://drive.google.com/file/d/17SY2HfckkPZp8GVtRelkIxrGhikP92nN/view?usp=sharing Job Requirements REQUIRED: PhD in materials science, physics, electrical engineering, chemical engineering, or a related field by the start
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learning with no more than five years post receipt of this degree, in Electrical/Electronics Engineering, telecommunications, or related field. Other requirements include: Proven track record of publications
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worldwide and BNL is responsible for data compilation in North America. In order to make full use of the data in EXFOR, experience in data science, machine learning (ML) and applications of artificial
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staff position within a Research Infrastructure? No Offer Description The general objective of this project based at the State University of Campinas's Faculty of Electrical and Computer Engineering (FEEC
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
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knowledge and proven capacity of data analytics and machine learning. *Excellent programming in Python, R, SQL. Have experience with tools such as Google analytics, AWS, Looker, Tableau, or similar
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17 Mar 2026 Job Information Organisation/Company UNIVERSITE D'ORLEANS Research Field Engineering » Systems engineering Technology Researcher Profile Recognised Researcher (R2) Positions PhD
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materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using