48 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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cluster moulds electronic and computer engineers, computer scientists, AI engineers, interactive media and game development experts, software engineers, and information security specialists. We invite
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cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap
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. Degree in Infocomm, Computer Science, Cyber Security, Computer/Electrical Engineering, Information Technology or equivalent. Possessing a Master’s or PhD degree will be advantageous. Strong interest and
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degree or higher in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or a related field. Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. Working
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Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is
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assigned by supervisor. Requirements Bachelor’s degree or higher in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or a related discipline. Hands-on experience with at least two
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Competencies: Strong experimentation skills and theoretical knowledge in food science and technology. Able to work independently as well as to maintain strong working relationships with people within and
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the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in
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team to develop a demonstration scale low pressure membrane system in collaboration with Atera Water Pte Ltd. Key Responsibilities Applicants are invited for a Research Engineer in low pressure membrane
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supervisor. Job Requirements： Bachelor’s degree or above in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or related fields. Hands-on experience with deep learning frameworks such as