88 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" research jobs at University of Michigan
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Apply Now Job Summary Perform computational quantum chemical calculations on a variety of molecular systems. Collect and compile data in a format suitable for analysis and publication. The work is
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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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Apply Now Job Summary Support instructional and research laboratory operations in chemistry, environmental science, and other physical sciences under the supervision of the Physical Sciences
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Apply Now Job Summary Support instructional and research laboratory operations within the Biological Sciences of the Department of Natural Sciences, under the supervision of the Biological Sciences
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Transportation Program, aimed at addressing power quality challenges in electric vehicle (EV) charging infrastructure. The selected candidate will contribute to the modeling, simulation, and prototyping
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for a post doctoral researcher in computational design and digital fabrication. Reporting to Tsz Yan Ng, associate professor of architecture, you will work on robotic 3D printing processes such as
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findings Required Qualifications* Must be an undergraduate student or recently graduated and not enrolled in a graduate program Strong oral and written communication skills Ability to work independently
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cell or drug therapies. We are interested in recruiting bioinformatics research fellow with training in computational biology or biostatistics. relatstatistics, mathematics, or a related field.statistics
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Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with
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components; patient care, education and research that together enhance our contribution to society. Required Qualifications* PhD in bioinformatics, computational biology, systems biology, statistics, physics