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research in linking wire arc additive manufacturing processes to material performance, requiring a high level of expertise in both experimental characterization and machine learning development. Bridge
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waters and engineered water treatment systems; covers acid-base, precipitation-dissolution, complexation, and oxidation-reduction reactions; emphasis on graphical, analytical and computer-speciation
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technologies and machine learning; and interact with collaborators and team members Prepare data reports for weekly meeting with PI and bi-monthly reports for weekly lab meeting Attend educational activities
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between the Rackham PhD programs and Rackham 5% - Benchmark doctoral educational programs and activities relative to peer institutions. 5% - Other duties as assigned. Required Qualifications* A Bachelor's
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individual for an exciting opportunity. This is a great entry-level position for someone looking for a job with a variety of responsibilities. This individual will learn a lot about the various University
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supporting our current courses in this space. Biocomputation-We are seeking candidates with experience in this field to help us advance and deliver key courses in AI and machine learning in biomedical
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(COMPASS) project is looking for an Application Programmer/Analyst Lead for our new NIMH project. COMPASS is focused on the effects of machine learning, wearable and mobile technology to both reduce mental
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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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collaborative relationships to ensure that the overall project is progressing together and on schedule. Developing and maintaining machine learning software infrastructure for experiments, and coordinating
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, attending conferences, and publishing their work. Required Qualifications* Candidates must have a PhD or other relevant doctoral degree, advanced competence in python programming, using computer vision models