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Contact(s) Please note: Job applications must be submitted directly online only at: ( https://jobs.uri.edu ) Contact Phone/Extension Contact Email Physical Demands Campus Location Kingston Grant Funded Yes
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categories Academic Discipline Computer Science , Engineering & Technology , Electrical & Electronic Engineering , Mechanical & Aerospace Engineering Job Type Academic Posts , Research Fellowships Contract
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systems. This includes the use of Machine Learning (ML) and Artificial Intelligence (AI) methods. Project description The PhD project will be focused on developing, assessing, and comparing traditional
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your application should clearly demonstrate that you meet the following essential criteria: 1. Hold a 2:1 Honours degree in Electrical and Electronic Engineering, Computer Science, Mathematics or other
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demonstrate that you meet the following essential criteria: Have, or be about to obtain, a relevant PhD in Electrical and Electronic Engineering/Computer Science (or related discipline) Good hardware
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intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https
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the Parallel Systems Lab ( https://psl-ntu.github.io ) at NTU’s CCDS. The role focuses on designing, developing, and evaluating efficient, scalable systems for modern multi-agent HPC-AI workflows
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, machine learning, and statistical expertise. The position is funded by a grant from the NIH / NIAID (R01AI135114), though opportunities for additional projects in other areas are available according to
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, Canada. Abundant Intelligences conceptualizes, designs, develops, and deploys Artificial Intelligence based on Indigenous Knowledge Systems. https://abundant-intelligences.net/ . The Toronto pod is
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structure of withdrawal, (2) acquire data from genetically diverse mice under a multitude of conditions, and (3) develop multimodal machine learning models and methods to determine signatures and