90 parallel-processing-"CERN" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
Sort by
Refine Your Search
-
, testing, and processing materials like metals, plastics, and ceramics to improve product performance. You will lead and apply best practices in materials science and engineering. Key responsibilities
-
an integrated process for converting CO2 into valuable chemicals using renewable energy. The approach combines biotechnological and electrocatalytic processes to efficiently transform CO2 into useful chemicals
-
of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry partners to deliver translational, impact-driven research. This role supports applied food processing
-
development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
-
proteins for high quality alternative protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use
-
processing, and consumer acceptance. The appointee will contribute to SIT's sustainable food innovation agenda, working within a multidisciplinary team with access to established research platforms and pilot
-
for: Conducting research and development on AI-based solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine
-
literature review on NQR technology, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development
-
operation and maintenance of equipment Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer
-
anomaly with different weather conditions, which can be used to develop a data-driven model for storm surge prediction. Data Analysis: Process and analyze climate, ocean wave and coastal data to improve