94 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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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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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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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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Requirements Bachelor’s degree or above in Electrical Engineering, Computer Engineering, or a related field from a recognised university. Strong programming skills in MATLAB/Simulink, Python, C/C++, or similar
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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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of final year projects (FYP) or capstone projects students under the Project PI. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope
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least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with
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requirements Have relevant competence in the areas of project management, organizing documents, and facilitating report drafting. Have a degree in Food Science and Technology, Engineering or Science is a bonus
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for amino acid profiling, polyphenol profile analysis, SDS-PAGE, and protein hydrolysis. Have a degree in Food Science and Technology, or Analytical Chemistry. Possessing a Master's or PhD degree will
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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