9 deep-learning-"EPFL" Postdoctoral positions at Massachusetts Institute of Technology
-
application of scenario optimization techniques that could be applied in between shots and between run days, to include model correction techniques and transfer learning to maximize success probability of SPARC
-
Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
engineering. PREFERRED: Experience working with modeling tools such as Vensim, etc.; experience working with business on strategic issues, ideally with a global corporation; and has a deep understanding of the
-
fields; proficiency in evaluating the effectiveness of learning materials; strong track record of working both independently and collaboratively; be organized, able to lead multiple projects simultaneously
-
Posting Description POSTDOCTORAL ASSOCIATE, Chung Lab, Picower Institute for Learning and Memory, will assume a position under the primary mentorship of Professor Kwanghun Chung and is a pivotal
-
.); be methodical, detail-oriented, and a critical thinker that is willing to learn and perform a wide range of tasks with minimal supervision; enthusiasm for educating students about processing
-
Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
software development experience. PREFERRED: Experience with rotational spectroscopy, radio astronomy, radiative transfer calculations, and/or machine learning. These qualifications can be demonstrated
-
Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Statistics and Data Science Center at the Institute for Data, Systems, and Society is seeking applicants for a Postdoctoral Associate in the general areas of statistical learning, reinforcement learning
-
, machine learning techniques, and cosmological simulations. The group is actively involved in multiple JWST Guaranteed Time Observation (GTO) and General Observer (GO) programs, an upcoming Large Program on
-
at least one public lecture at MIT during the fellowship term; -Teach one course per academic year, determined in consultation with the History faculty and aligned with both the fellow’s expertise and the