Sort by
Refine Your Search
-
implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene understanding, object
-
investigate the “Solar wind outflow and open flux”. Candidates with a strong track record in solar magnetic field modelling, and/or familiarity with solar observational data, are particularly encouraged
-
, Ecology and Agritechnology. Research programmes are grouped in the following areas: Molecular Plant Sciences; Biomolecular Interactions; Ecology, Evolution and Environment; and Animal Cells and Systems
-
• Experience with super conducting microwave circuit design of fabrication • Experience of materials and/or device modelling software • Knowledge of Labview and/or Python software. How
-
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
-
information to specialists and within the wider academic community. Experience in designing and operating combustion test rigs; developing analytical engineering models using CONVERGE or other CFD tools; and
-
University Guide 2024, and ranked 4th for impact in REF 2021. Due to the reach and scope of the Contextual Safeguarding programme most team members work to a hybrid working model, with research underway in
-
, 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