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traditional paradigms by: ●Measuring attention and gaze in naturalistic, dynamic environments rather than simplified laboratory settings ●Developing scalable computer vision methods to track gaze and behavior
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such as the search for undiscovered radioactive isotopes, and improvement of RI beam production methods. Additionally, the group develops technologies necessary to upgrade core experimental instrumentation
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(7) Deep Learning in Biomedical Sciences (8) Theory and methods on prediction, control and estimation (9) Mathematical analysis and modeling of social behaviors where numbers (1)-(9) above correspond
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