80 machine-learning-"https:"-"https:"-"https:"-"https:" positions at Harvard University
Sort by
Refine Your Search
-
network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering Candidates should have demonstrated publication records in cardiac and vascular engineering or
-
proposed mentors from current faculty associated with the Kempner Institute or working on machine learning, artificial intelligence, or computational neurobiology at Harvard. A research proposal of no
-
of at least some of the following: – Extensive independent research experience – Creativity and independence – Experience analyzing hyperspectral data and developing machine learning models - Genetic
-
the auto market, especially electric vehicles. The position will be under the supervision of Professor James Stock and Dr. Elaine Buckberg, and it will be housed in the multidisciplinary Salata Institute
-
to prioritize work and coordinate research protocols with lab members Excellent attention to detail and organization skills Interest in learning and strengthening existing skillsets Special Instructions We highly
-
(PyTorch) with a drive to enhance these skills. Familiarity with one of the AI/ML fields like Natural Language Processing, Computer Vision, Reinforcement Learning, generative models, or a strong interest in
-
, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Special
-
, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Additional Qualifications Special Instructions Application
-
of biomechanics and computer vision to document the wingbeat frequencies and phototactic behaviors of diverse insects under diverse contexts. Candidates will be expected to plan and lead behavioral experiments
-
applications to teach in the Sophomore Tutorial program. Tutor positions are open to advanced graduate student and postdocs/PhD-level early career instructors with prior teaching experience. Sophomore Tutorial