12 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" Fellowship positions at University of Texas at Austin
Sort by
Refine Your Search
-
decision-making, and join a vibrant AI research community at the University of Texas at Austin, become members of The University of Texas at Austin’s Machine Learning Laboratory (https://ml.utexas.edu
-
of Mathematics. https://www.ma.utexas.edu/ Each R.H. Bing Fellow holds an Instructorship in the Department of Mathematics with a teaching load of one course per long semester. The combined Instructorship
-
coverage Retirement contributions Paid vacation and sick time Paid holidays Please visit our Human Resources website (https://hr.utexas.edu/prospective/benefits ) to learn more about the total benefits
-
found here: https://www.jsg.utexas.edu/people/postdoctoral-fellows-programs/unit-level-postdoctoral-fellowships/ . For questions on these positions, please contact Dr. Chenguang Sun at csun@jsg.utexas.edu
-
microscopy systems that integrate machine learning, robotic control, and real-time data analysis to achieve autonomous imaging and interpretation of complex materials systems. The Fellow will design and
-
Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
or parallel reactors Collaborate with computational scientists to integrate machine-learning models for closed-loop materials discovery Collaborate with companion postdocs on functional materials
-
access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount program including athletic tickets Free access to UT Austin's libraries and
-
and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount program including athletic tickets
-
or the Head of Book and Paper Conservation. The fellowship offers an opportunity to acquire advanced training while working in a highly collaborative environment that includes six conservators (book, paper
-
) and related disorders Analysis of behavioral data (e.g., assessment and treatment data; acoustic and linguistic analyses of connected speech), with potential to implement and/or learn brain imaging data