47 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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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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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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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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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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. Any other matters as directed by Director/Deputy Director of CoDE. Job Requirements A good degree in Computer Science or a related field. Masters, PhD and/or relevant professional certifications would
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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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participating in and managing student projects. Any other matters as directed by Director/Deputy Director of CoDE. Job Requirements A good degree in Computer Science or a related field. Masters, PhD and/or
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relevant global tech think-tanks, conferences, and advisory platforms to represent SIT and draw global insights into local contexts Job Requirements PhD in a relevant science or engineering field, with
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staff members and students Prepare research manuscripts, presentations and grant proposals Other ad hoc duties that may be assigned Requirements PhD degree in biomedical engineering or other relevant
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step change improvements in process performance; Informatics for process and product development with a background in big data applications in biotechnology, process development or food technology