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Apply Now Job Summary The Machine Learning in Neurosurgery (MLiNS) Laboratory in the Department of Neurosurgery at the University of Michigan studies how machine learning and artificial intelligence
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Filtering (SMILES Lab) Resume or CV Links to relevant code repositories, projects, or previous research Job Summary The Secure Modeling and Intelligent Learning Systems (SMILES) Lab at the University
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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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in the position and outline skills and experience that directly relate to this position. Job Summary The candidate will lead projects in building machine learning models to screen potential drugs
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an exciting opportunity in our Digital Fabrication and Robotics Lab (FabLab). The FabLab has state of the art tools and machines as well as the expertise to support a wide range of projects from architectural
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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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involves implementing advanced machine learning techniques such as transfer learning and fine-tuning, evaluating model performance, and collaborating with clinical and research staff. Responsibilities
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experiments to validate findings from the omic studies. The desired skill set is split between dry lab (bioinformatics) and wet lab (basic science/animal models). Additionally, the individual will be required
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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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unit within the Division of Student Life whose work is guided by best-practice standards and interventions utilizing a multidimensional model of student well-being. SAAS oversees four key resources