57 machine-learning-"https:" "https:" "https:" "Computer Vision Center" research jobs
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
, University of North Carolina at Chapel Hill ( UNC -CH). We seek a motivated candidate with a strong interest in machine learning and clinical neuroscience. The lab studies resilience and vulnerability in
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graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning
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, Artificial Intelligence, Machine Learning, Data Science/Data Analytics, or a closely related field. Candidates must have a doctoral degree conferred before the appointment date. Candidates must also be
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. Our research integrates multi-omic sequencing, network biology, and machine learning to identify actionable biomarkers and therapeutic vulnerabilities. The successful candidate will work at the
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education and experience is required. Computer Science, Data Science, Bioinformatics, or a closely related field preferred. Coursework or project experience in machine learning, deep learning, or artificial
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
end, embedded electronics, and firmware. Develop and validate signal-processing and machine-learning algorithms that account for skin pigmentation, low perfusion, and motion. Work with UNC clinical
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settings, as well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building
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data workflows, develops and applies statistical and machine-learning methods, and ensures the integrity, reproducibility, and quality of the lab's analytical work. This role requires domain expertise
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Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site Real-World Data: https://www.fda.gov/about-fda/oncology-center-excellence/cardioonco-ai-ai-empowered-cardiotoxicity-risk
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or computational research skills relevant to field experiments, survey experiments, causal inference, text analysis, machine learning, or related methods. Excellent written and oral communication