26 parallel-computing-numerical-methods-"Simons-Foundation" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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from nanometres to millimetres. Develop numerical methods to capture droplets evaporative behavior accurately Compare and validate numerical results with experimental data from both literature and in
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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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that are relevant to industry demands while working on research projects in SIT. About the DIGNIFIED programme The DIGNIFIED programme is dedicated to developing elderly-friendly, textured modified foods with
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assigned by Supervisor. Requirements (Expertise, Qualification and Experience): Synthetic chemistry/biology (2-3 years experience in wet chemistry labs is ideal, experience in organic synthetic methods
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methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
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part of the research team to develop a method for production of bio-degradable Vacuum Insulation Panels (VIPs). It is a up to 1 year project in collaboration with Aeris Dynamics Pte Ltd. Upon successful
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rigorous simulations and live demonstrations. This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine
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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
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maintenance of equipment. Job Requirements A degree in Computer Science or relevant field Experience with software development life cycle For app developer role: Strong knowledge in C++ and/or Javascript for 3D
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architecture design. Excellent communication and leadership skills, with prior experience in mentoring students or leading small teams. PhD degree in Computer Science, Natural Language Processing (NLP), or a