123 parallel-and-distributed-computing-phd positions at Singapore Institute of Technology
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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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of experiment, data logging and analysis of data collected. Work with computational fluid dynamics (CFD) results generated by an expert to correlate with experimental data Assists the PI in drafting of reports
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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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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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Program Development: Working across both internal and external stakeholders to develop and execute Continuing Education & Training (CET) and SkillsFuture courses. Lead client/partner engagement processes
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. Review and improve work processes. Other university-wide modules' support assignments as required by the Module Leads, Director of Programme, Programme Leader, or Director, Academic Programmes
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emerging applications of automation, artificial intelligence and data analytics solutions for aquaculture Hands on experience in commercial aquaculture farm operation is a plus Preferred to having a PhD in a
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computing and etc. Collaborating closely with faculty, industry partners, researchers, other IHLs and students, the PO will co-create impactful, practical, and commercially viable solutions that address
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: process monitoring and control, industry 4.0, modeling, AI and ML applications for the process industries with particular emphasis on delivering step change improvements in process performance; Informatics