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machine learning techniques to raw ultrasound data. The project involves developing novel algorithms that integrate physics, engineering, and AI to extract meaningful and clinically relevant information
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in probabilistic temporal event dynamics. Required Qualifications: - PhD in computer science, engineering, biomedical data science, informatics with advantage for experience in conducting research
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possible. For further details, visit https://sdonglab.org/ . The initial appointment is for one year, with the potential for extension depending on regular progress evaluation and continuation of funding
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possible. For further details, visit https://sdonglab.org/ . The initial appointment is for one year, with the potential for extension depending on regular progress evaluation and continuation of funding
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About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed
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, visit https://sdonglab.org/ . The initial appointment is for one year, with the potential for extension depending on regular progress evaluation and continuation of funding. Minimum Qualifications
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in computer science, engineering, biomedical data science, informatics with advantage for experience in conducting research on healthcare data. - Experience in Artificial Intelligence (AI), Machine
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functional supervision over graduate and undergraduate students. The appointment generally does not extend beyond two years. To learn more about the work in the group, checkout out the group website. https
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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simulations. Minimum Qualifications Ph.D. in mechanical engineering, chemical engineering, materials science, or a closely related field, with 0–3 years of relevant research experience in battery systems