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, analyze, and interpret complex datasets. Comprehensive understanding of scientific principles and rigorous experimental or analytical design. Strong general computer skills and ability to quickly learn new
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to Submit Application Materials: Interested candidates should submit a single combined PDF that includes (1) a letter of interest with a brief summary of previous research experience (~1 page), (2) a current
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Postdoctoral Fellowship represents a unique opportunity to advance surgical care through innovative applications of data science and artificial intelligence. This interdisciplinary fellowship is designed
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applications, and ability to quickly learn and master various computer programs. Must be technically rigorous, organized, and have demonstrated excellence, innovation, and productivity in research. Ability
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demonstrated ability to design, train, and deploy large-scale models Expertise in at least one of computer vision, speech recognition, or multimodal learning, with experience in real-world technology deployment
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designing machine learning pipelines, building web applications or tools, and creating and maintaining visualization dashboards. Trainees should be comfortable with: · SQL, R, and Python
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completely automated, lightly gamified, online assessments that are grounded in ongoing cognitive neuroscience research and validated against the current “gold standard” of standardized, individually
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data