Sort by
Refine Your Search
-
Program
-
Employer
-
Field
-
on the theoretical quantum matter, including (but not limited to) ultracold atomic physics, atom array quantum computation, non-equilibrium quantum matter and quantum machine learning. The postdoctoral fellows
-
. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
-
innovation in autonomous scientific discovery. • Science of AI: We investigate the theoretical foundations of machine learning itself, leveraging tools from quantum information, statistical mechanics, and
-
physics, nuclear astrophysics, quantum sensing, machine learning, gravitational waves, and particle theory and experiment. Faculty members include Professors Weiping Liu, Jie Chen, Sebastian Garcia-Saenz
-
on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional
-
postgraduates over 100 programmes with a diverse spectrum of courses. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal
-
on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional
-
theory, Quantum Monte Carlo method, DMRG, and machine learning Appointments of postdoctoral fellowship positions are offered for an initial period of two years, with the possibility of extending for one