-
interest in expanding their knowledge in both domains. (1) Geometry/Topology -related methods in computer science. (2) Machine Learning. (For example, graph neural networks, generative networks, or neural
-
of unpaid carers, concepts and social theory as it relates to racism, racialisation and inequality in health and care settings. Proven ability to manage time effectively and organise workload across competing
-
, profilometry and AFM. You should also be familiar with theory of plasma discharges and have the background required to extract plasma parameters from plasma diagnostics data and with methods to perform time
-
-resolved mass spectroscopy and should be versed in materials characterisation methods including XRD, nanoindentation, profilometry and AFM. You should also be familiar with theory of plasma discharges and
-
for academic, public and stakeholder audiences. Demonstrated knowledge of concepts and social theory as it relates to racism, racialisation and inequality in health and care settings. Proven ability to manage
-
Python with demonstrable familiarity with PyTorch, experience in working on shared codebases, excellent applied math skills (especially probability theory, matrix algebra, calculus). Beyond technical
-
University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
-
contributing positively to a collaborative research environment. Desirable: experience with building energy or power system applications, cooperative or coalitional game theory, or high-performance computing
-
systems theory Excellent analytical and problem-solving skills Desirable criteria Advanced programming and data analysis skills Computational neuroscience background Behavioral data analysis skills Strong
-
University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems