Sort by
Refine Your Search
-
trigger additional reasoning or a more capable model. Possible directions include uncertainty estimation, confidence calibration, model routing, token selection, early exiting, adaptive visual
-
will initially use established datasets and simulation environments to enable controlled comparison with existing approaches. Selected methods can then be evaluated through real-world human-robot
-
closely with researchers and industry practitioners from UNSW and Adiona Tech, as well as other industry partners, to develop and validate AI-powered methods for sustainable freight and last-mile
-
, quantum sensing or quantum parameter estimation. Experience with convex or semidefinite optimisation, variational methods, or computational complexity. Proficiency in relevant scientific programming
-
experience in quantum metrology, quantum sensing or quantum parameter estimation. Experience with convex or semidefinite optimisation, variational methods, or computational complexity. Proficiency in
-
. Desirable: Research experience in quantum metrology, quantum sensing or quantum parameter estimation. Experience with convex or semidefinite optimisation, variational methods, or computational