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ATMRI is seeking to hire a Research Fellow to conduct innovative to develop artificial intelligence methods and machine learned models to improve the performance, reliability and safety of air
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of high-gain antennas and apply prior-knowledge for machine-learning enabled-synthesis. The applicant will report their research achievements at prestigious journals and conferences. The applicant shall
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following fields: Large random matrices Machine Learning Job Requirements: PhD degree in statistics or related areas. Experience in random matrices or machine learning Strong written and verbal communication
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deep learning to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational
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Applications, Database Systems, Web Applications, Wireless Communications, Computer Communication and Networking, Cyber-Physical Systems, Cyber Security, Internet of Things, AI and Machine learning, Pattern
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; • Scripting/computer programming knowledge is required; • Knowledge of data analytics and/or data visualization is desired; • Expertise in building simulation and/or the application of deep learning is a
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to transfer learning, explainable machine learning, battery management, etc. Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers. Participate in
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complex systems is preferred. Qualifications 1. PhD in Photonics or Physical Optics 2. Hands-on expertise on complex photoelectric medium design. Specifically, photonic structure design & fabrication
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modelling, ecology, entomology and machine learning. This position will contribute to field epidemiology research projects on the impacts of environmental change on vector-borne and zoonotic disease risks
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and maintenance of equipment. Job Requirements At least a Bachelor’s degree in game development, computer engineering or relevant domain; a Master or PhD degree will be a big advantage. Proficiency with