19 high-performance-computing-postdoc Fellowship research jobs at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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operation issue. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Support in the maintenance of the vertical farm to be setup in SIT@Dover and willing
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circuit topologies for high-efficiency DC-DC conversion. Calculate resonant tank parameters to achieve ZVS/ZCS and optimize switching performance. Model and simulate resonant circuits under varying load and
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mechanical ventilation, simulation, building automation and control, sensor network, thermal energy storage, indoor air quality, heat transfer, and building energy performance evaluation. Experience of test
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supported areas for START below Excellent academic record plus a high degree of proficiency and motivation for selected research area Have been accepted or have applied for a postdoctoral training at a
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conduct innovative research on applied artificial intelligence computing. Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers. Participate in
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performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD – particularly in battery fire combustion and spread. Strong skills in turbulence
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supported areas for START below Excellent academic record plus a high degree of proficiency and motivation for selected research area Have been accepted or have applied for a postdoctoral training at a
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researchers on 5G testbed operation, integration and performance testing. Job Requirements Bachelor’s, master's or Ph.D. in Electrical and Computer Engineering, Computer Science or related field. Solid
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supported areas for START below Excellent academic record plus a high degree of proficiency and motivation for selected research area Have been accepted or have applied for a postdoctoral training at a