125 parallel-and-distributed-computing-phd-"Multiple" positions at Singapore Institute of Technology
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) an earned PhD or equivalent from a reputable university with specialisation in any of the above-mentioned areas and some relevant work experience, or (b) extensive industry experience with demonstrated strong
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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 applied learning and
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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 applied learning and
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for undergraduate students. Interview and supervise student assistants in the project. Job Requirements: (Research Fellow) PhD in Computer Science or a related field (Research Engineer) Bachelor/Master degree in
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. Performs PCM development, Computational Fluid Dynamics (CFD) simulations and experimentation. CFD modeling will include heat transfer and phase change of storage material in an optimised storage tank
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, Health Sciences, Engineering with healthcare experience, or a related field. Master or PhD in a relevant field (e.g. MBA) is preferred. At least 10 years of relevant industry experience in healthcare
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/EE/ECE and related discipline Hands-on experience in developing computer vision application Knowledge of machine learning and computer vision is preferred Good communication skills and teamwork spirit
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external collaborators and manage data-sharing protocols. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Master/PhD in Naval
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students. Interview and supervise student assistants in the project. Job Requirements: (Research Fellow) PhD in Computer Science or a related field (Research Engineer) Bachelor/Master degree in
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relevant experience in the electrical engineering industry and preferably is familiar with electrical power distribution system. • Prior knowledge on power system condition monitoring would be an advantage