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science, biomedical engineering, applied mathematics, statistics, a quantitative biological discipline, or a related field. Demonstrated research experience in machine learning or computer vision
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• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Biology, or a related quantitative or biological field. • Strong programming skills in one or more of Python, R, and Bash
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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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Physical Demands and Work Environment PHYSICAL DEMANDS : Standing, sitting, walking, talking, seeing, and hearing. Manual dexterity and vision sufficient for standard laboratory operations and computer
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Academic Job Category Faculty Bargaining Job Title Canada Impact+ Emerging Leader in AI-based Protein Modeling and Design Department Department of Biochemistry and Molecular Biology | Faculty of
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The University of British Columbia | Northern British Columbia (Fort Nelson), British Columbia | Canada | about 1 month ago
in AI-based protein design and modeling, teach undergraduate and graduate course on fundamental and current topics as relevant to BMB, supervise and mentor undergraduate, graduate, and postgraduate
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large-scale models Expertise in at least one of computer vision, speech recognition, or multimodal learning, with experience in real-world technology deployment Experience with human-in-the-loop
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agreement with USDA-ARS and is conducted in collaboration with the USDA-ARS Southern Plains Agricultural Research Center (Insect Control and Cotton Disease Research Unit).This is a field scientist's
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agreement with USDA-ARS and is conducted in collaboration with the USDA-ARS Southern Plains Agricultural Research Center (Insect Control and Cotton Disease Research Unit).This is a field scientist's
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interface of computational genomics, AI-driven modeling, and translational oncology, analyzing large-scale multi-omic datasets from pediatric cancer cohorts. The position offers a unique opportunity to