-
to players’ needs in real time. The successful candidate will work with an interdisciplinary supervisory team, benefiting from expertise in adaptive systems, accessibility and human-computer interaction, and
-
deep-learning and 3D computer-vision models that detect features while representing a distribution of plausible interpretations. Encode geological relationships in a knowledge graph that stores
-
, attack resilience, privacy leakage, communication overhead, computation cost, and deployment feasibility. Funding These are doctoral teaching assistant positions that combine a PhD programme with a
-
evaluating AI models for prediction of effectiveness of coastal protection. Funding These are doctoral teaching assistant positions that combine a PhD programme with a university teaching contract. Your time
-
assistant positions that combine a PhD programme with a university teaching contract. Your time will be split approximately 60% on research and 40% on teaching. This provides excellent preparation
-
entry requirements . Candidates must have a strong motivation for research and excellent programming skills. Expertise in developing computer vision and machine learning algorithms would be desirable