20 medical-physics "University of California, Santa Barbara" Fellowship positions at Singapore Institute of Technology
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility...
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knowledge in basic soil mechanics is required. Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous Knowledge of physical modelling will be advantageous. Key
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team to develop/produce/investigate extraction and fractionation of mung bean/rice/spent barley for improved functionality, generate process data for future life-cycle assessment and techno-economic
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of measurement results Coordinate very closely with research team and industry partner in the project execution and in the procurement, process including liaison with test and measurement equipment/services
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. Stakeholder Management responsibilities include acting as the primary point of contact for all project stakeholders, and in the process, building and maintaining strong relationships with industry partners
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, capable of engaging both technical and non-technical audiences. Application Process Applicants are required to submit a CV, cover letter, detailed research proposal, and references to the SIT recruitment
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. Operate the simulated electrical model on a real-time system such as Typhoon power-in-loop and Opal-RT systems with physical real connections to the EMS controller to perform deterministic simulations
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the National Medical Research Council where you will be the key research staff to develop a Brain-Computer Interface based Neuroenhancement System for Sustaining Short-term Memory, Focused Attention
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the agility of their multi-product manufacturing process in an uncertain environment. To this end, by working closely with subject matter experts from the PIPS member companies (i.e., GSK, MSD, Pfizer, and
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hydrodynamic modelling and sediment transportation. ii. Model Validation: Validation of DHI Mike Model with past historical data iii. Data Analysis: Process and analyze coastal and ocean wave data to improve