-
inclusive research environment Training in protein biochemistry, immunology, virology, evolutionary biology, statistical inference methods, and computational biology Mentorship tailored to your scientific and
-
decision making supervised vs unsupervised paradigms for studying neural plasticity and learning models for learning based on temporal and atemporal stimulus statistics About the Lab: Our lab is part of
-
one undergraduate course in data science or statistics. Prior programming experience, MATLAB, Python, and/or C++. Prior experience in machine learning a plus. Physical Requirements: Remaining in a
-
and theoretically modeling these processes using statistical mechanics and thermodynamics. More information about the lab, and links to publications, can be found on our website: http