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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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determinants of health with a focus on cognitive decline/dementia and an emphasis on the application of epidemiologic, econometric, and other methods to strengthen causal inference using multilevel, longitudinal
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strongly preferred) Demonstrated track record of peer-reviewed publications, patents, and/or technology development in pharmaceutical sciences Experience working with industry sponsors and collaborative
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adversarial AI and out-of-distribution detection. The successful candidate will have a strong track record in top-tier AI publications, outstanding presentation and leadership skills. Responsibilities
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research experience (academic-industry partnership experience strongly preferred) Demonstrated track record of peer-reviewed publications, patents, and/or technology development in pharmaceutical sciences
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apprenticeship-style training in laboratory methods and embedded security research. Support project management by tracking milestones and deadlines, assisting with acquisition of laboratory resources, preparing
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), with a track record of working with large, complex datasets. This includes collecting, managing, analyzing, and visualizing/communicating data to a variety of audiences: the general public, scholars
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tracking milestones and deadlines, preparing project updates, meeting quarterly with sponsors, and coordinating with the PI on active research activities. Secondary Responsibilities Occasionally guest
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of recommendation MINIMUM QUALIFICATIONS Candidates should have a Ph.D. in Physics, Mathematics, or Computer Science. A strong track record of research accomplishments in technical fields, ideally involving
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-style training in sustainability science. Support project management by tracking milestones and deadlines, preparing project updates, meeting quarterly with sponsors, and coordinating with the PI