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algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 15 hours ago
AI methods. Candidates’ will be working on projects at the forefront of one of the six research areas of: Biology/Bioengineering, Brain and Cognitive Sciences, Chemistry/Chemical Engineering, Materials
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: Preferably PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written
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or an equivalent qualification. For all posts, applicants should also: (a) have solid experience in electric machines, finite element methods and theory of electromagnetic files; and (b) be able to complete
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Responsibilities: Conduct research on the design and analysis of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop algorithms and prototypes
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from the traditional chemicals industry to pharmaceuticals and personal care products. About this Modelling Role This post-doctoral role seeks to advance the systems modelling methods of microbial cells
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Number: 6380165 University of California Irvine Postdoctoral Scholar - Della Martin Fellowship Position overview Salary range: A reasonable estimate for this position is $66,737-$80,034. See Table
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. Our research groups work with the development of computer systems for data analysis, development of machine learning methods, and the clinical use of technology. Within the research group you will
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Roles Lead a retrospective study utilizing a decade of health data to create a comprehensive HRI database. Investigate the distribution and determinants of HRI by applying epidemiological methods
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, with opportunities to build an international research portfolio. The post holder will work on developing and testing study design and data analysis methods, particularly related to cluster randomised