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and inquisitiveness to learn new things Benefits • Participate in the development of satellite projects at a world‐class research facility • Be involved in a multi‐disciplinary program, conducting
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inquisitiveness to learn new things Benefits • Participate in the development of satellite projects at a world‐class research facility • Be involved in a multi‐disciplinary program, conducting research/engineering
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inquisitiveness to learn new things Benefits • Participate in the development of satellite projects at a world‐class research facility • Be involved in a multi‐disciplinary program, conducting research/engineering
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on interesting and challenging problems in this focal area. Qualifications PhD degree in a relevant discipline Research areas related to AI, collaboration in domains such as customer service, healthcare Machine
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Job Description The successful candidates will contribute to research activities related to use of computer vision, machine learning, and analytics to construction safety. The candidate shall work
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papers to be published at prestigious journals. Qualifications PhD holders in the fields of electromagnetic and antenna engineering Experience in programming machine learning/neural network algorithms
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& Responsibilities • Perform literature review of academic machine learning papers with a focus on application on Thai language capability of LLMs • Ability to push for more upstream modelling works like
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photodetectors. 4) Be skilled in at least one computer programming language for data processing and analysis. Programming experience in neural networks or machine learning is preferred. 4. Independent Research
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-periodic and quasi-periodic structures). Skills in tight-binding and/or machine learning skill are given higher priority. • Experience: Has at least 4 years of doing DFT-based computational studies
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to understand and improve the complex systems of liner shipping service networks, with a particular focus on service network structure, scheduling, and fleet management. Utilize machine learning techniques