-
energy densities exceeding LMFP and competitive with NMC. A postdoctoral research position is available on this 3D-CAT project in the area of computer modelling and materials design of lithium battery
-
simulation methods, decision theory, uncertainty quantification, machine learning. Applications and areas of key innovation Image analysis, computer graphics, autonomous and assisted driving, 3D scene analysis
-
-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
-
in computational surface science, electronic structure theory, computational materials discovery, or machine learning in materials science. Research competence and initiative proven through
-
not limited to: electronic structure methods (density functional theory and "beyond"), classical atomistic, and machine learning methods. The duties/responsibilities of this post include developing and
-
of Social Theory and Institutions. The Department delivers undergraduate and postgraduate programmes in Sociology, Criminology and Social Work and supports the delivery of a faculty research methods
-
, including those appearing in string theory. 2. To uncover the universal algebraic structures of integrable models. 3. To construct new integrable instances of gauge/gravity duality. 4. To investigate
-
and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high