![]() Their conversation revolves around how our identities are primarily shaped by our activities and interpersonal relationships, as well as the influence of our ambitions on our self-perception. Maya Shankar, a cognitive scientist, delve into the intricacies of identity formation, goal setting, motivation, and strategic planning. As it takes time to familiarize oneself with a research project and to make significant contributions, we expect that students will be involved for at least two quarters, with a strong preference for those who can potentially stay involved for the full school year.Professor Andrew Huberman and Dr.Outside of coursework, we expect this to be your primary academic activity.We encourage other Stanford students who want to work with us to apply to either the AIHC, AICC, or Medical AI bootcamp.Stanford PhD students interested in rotating with Professor Ng should email us at using their Stanford email with the subject line “FirstName LastName PhD Rotation”.We can only work with Stanford students at this time. Due to a high number of applicants we may be unable to respond to individual emails. Please see below for how to apply to work with our group. ![]() Applicants should have made significant contributions to software projects in the past, for example through developing software systems at a company or through significant open source contributions. Software engineering background: We also encourage engineers without much AI background who are interested in developing ML applications to apply.Previous ML/AI research experience would be a plus but is not required. For example, Stanford students should have taken CS229 before applying. ML/AI background: You have a solid background in probability and linear algebra, and have done well in AI/ML coursework.You should have a strong ML background, or a strong software engineering background. You are expected to support and collaborate with others in turn you will also receive support from your teammates. Teamwork: We work together in small teams.We will also prioritize your learning and help point you in the right direction but you need to put in the work to take advantage of this. ![]() This can involve reading books, taking coursework, talking to experts, or re-implementing research papers.
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