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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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medical, dental and vision coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* Researching and developing novel machine learning architectures for integration across
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weekends, averaging 20 hours per week Excellent oral communication skills Computer skills - work processing, Google workspace Ability to complete some work tasks remotely in the Ann Arbor area Ability
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
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Bioinformatics, as well as the Departments of Biostatistics & Biomedical Engineering, University of Michigan is seeking a postdoctoral fellow for bioinformatics problems involving quantum machine learning and
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detailing the status of ongoing work, using spreadsheets, word processing, and graphics computer programs, participating in lab meetings, and accomplishing general laboratory tasks and other related tasks as
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manuscripts and grant proposals. Required Qualifications* Bachelor's or Master's degree in UX Design, Human-Computer Interaction, Information Design, Psychology, Public Health, or a related field. Those working
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in the ECE - Electrical & Computer Engineering Department. Please include your resume. Job Summary A master's student in the ECE - Electrical & Computer Engineering Department is sought for assistance
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position is a great opportunity to learn more about the human subjects research process from start to finish, gain experience in 1:1 participant contact (both through interviews and intervention) and expand
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behaving mice, and advanced modeling + machine learning analyses. Please read more about our research at www.apostolideslab.org . Key questions we want to answer are: How do neural circuits extract