2,351 electronics "https:" "https:" "https:" "https:" "https:" "OSU" Fellowship positions
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Dr Yingzhen Li (https://yingzhenli.net ) and her research group
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University focused on advancing computer vision, multimodal AI, generative AI, and embodied AI. Founded in 2018, the lab has grown into a vibrant research group with around 40 members comprising faculty
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, their fabrication and characterisation in order to be translated to industry with our partners. This includes laboratory experimentation, critical evaluation and interpretation, computer-based theoretical modelling
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applications for the position of Research Fellow . The Research Fellow (RF) will play a key role in advancing the research mission of NTU by supporting cutting-edge projects in computer vision, machine learning
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1. Possess a Ph. D Degree in Electrical Engineering with strong knowledge in semiconductor device technology and process. 2. Strong knowledge in semiconductor device physics. 3. At least 4 years in simulation, fabrication, and testing of semiconductor devices. 4. Proficient in...
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The Institute for Health Innovation & Technology (iHealthtech) at the National University of Singapore (NUS) was founded in 2017 to advance health through technological innovation. Focused on tackling clinical challenges, iHealthtech develops innovative health technologies, bridging the gap from...
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groups within and outside the country. We are looking for talented electrical/electronic engineers to join the team of scientists and engineers working on the next generation of the quantum processor
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Assessment Where to apply Website http://www.unina.it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility of fellows: country/ies
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Description Specific details are given in the call available on the University's website, at https://personale.unica.it/docric/public/ Where to apply Website https://personale.unica.it/docric/public
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collaborative and interdisciplinary activities. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong academic background in machine learning