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presents an exceptional opportunity for a suitably qualified and motivated individual to engage in applied research at the intersection of artificial intelligence , process monitoring , machine learning
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of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods on computer vision. Job Requirements: Preferably PhD in Computer
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transmission and reflection geometry. Key Responsibilities: Operation, maintenance, and modification of scientific equipment in Prof. Chia’s laboratory Management of project issues, including related paperwork
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 11 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow - Bioinformatics Division Academic Affairs Department Coll of Computing&Informatics (Col) Work Unit
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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Researcher) position is part of the EIC project, HYPERSONIC (HORIZON-EIC-2023-PATHFINDEROPEN-01), which aims to develop scalable, solution-processed 2D materials and covalently interconnected networks for next
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preliminary research on the application of brain-computer interface technology in enhancing tourism experiences for families with ASD children”. Qualifications Applicants should have: (a) a doctoral degree
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30th of each month, via bank transfer to the Fellow’s IBAN indicated in the Contractualization Process. Selection Methods: The selection methods will be as follows: Curriculum Evaluation and Selection
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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and thermal-aware design techniques for embedded systems. Contribute to research outputs and support timely completion of project milestones. Job Requirements: Preferably PhD in Computer Engineering