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Project Overview We are hiring highly motivated and talented Postdoctoral Associates who are interested in advancing the state of the art in resource-efficient machine learning at the Singapore-MIT
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clinical validation. 5. Perform other duties as assigned. Requirements 1. Ph.D. in Mechanical Engineering, Aerospace Engineering, Materials Science, or a related discipline. 2. Solid background in acoustics
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on 15 October and continue until positions are filled. Inquiries may be sent to mat search@nus.edu.sg For further information about the department, please visit https://www.math.nus.edu.sg/ Application
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and acoustic properties characterization, including techniques such as polymer mechanics characterization, material acoustic properties characterization. 4. Solid background in medical ultrasound
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teaching statements, and at least three letters of recommendation. More information about the university and the department can be found at https://www.nus.edu.sg . Application Materials Required: Submit
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operations, resulting in long turnaround times and increased risk of contamination during handling. The emergence of Rapid Microbial Methods (RMM) as state-of-art technologies seek to address these limitations
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will have the opportunity to work on cutting-edge projects that aim to develop state-of-the-art AI to create future smart cities. This Postdoctoral Associate position is until June 2028 under the M3S
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from student to postdoctoral researcher to research scientist, all of whom work closely with a core team of research specialists. The group shares a state-of-the art research facility and is united by a