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the start date, and is within the first five years post-receiving a PhD. Competitive candidates will demonstrate expertise in areas such as device design and fabrication, stem-cell culture and differentiation
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years of experience post receiving their PhD). A strong preference is for individuals with (a) computer science or computer engineering degrees with previous experience in natural language processing
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multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students. Applicants must have a BS (MS preferred) in an engineering or biomedical-related discipline, with
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related discipline, with a focus on security, privacy, or applied machine learning, and with less than 5 years post receipt of PhD. Demonstrated research experience in at least one of the lab’s research
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developing a machine perfusion system to improve organ preservation. The candidate will work in a dynamic, multidisciplinary environment alongside PhD-level engineers and scientists, graduate students, and
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Post-Doctoral Associate in the Division of Engineering (Mechanical Engineering) - Dr. Mohammed Daqaq
no more than five years post receipt of the PhD. Strong English communication skills, the ability to work effectively in multidisciplinary teams, and demonstrated scientific creativity are essential
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collaboratively within a team. Applicants must have a PhD, or equivalent advanced or terminal degree from a recognized institution of higher learning, in materials science and engineering, chemical engineering, or
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the engineered solutions. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists, research engineers, graduate research students and undergraduate students, to investigate
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with less than 5 years post receipt of PhD. Demonstrated research experience in at least one of the lab’s research thrusts. Good programming and analytical skills, and willingness to work with new
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prototyping for real-world use-cases, and building TRL-4/5 prototypes and actively optimizing the engineered solutions. The candidates will work in a multidisciplinary environment consisting of PhD-level