Sort by
Refine Your Search
-
learning (RL), such as (but not limited to) Theory of online learning, reinforcement learning, and data-driven control Learning in games, and multi-agent RL RLHF and alignment in LLMs Representation learning
-
with exam grading. - The anticipated start date is 1 September 2025 (earlier start dates can be considered). - A PhD in Mathematics (completed by the start date) is required. Please submit your
-
qualifications with a PhD in physics, electrical engineering, materials science or a related subject, and a background in magnetic thin films, nanostructures and spintronics. You should be motivated, proactive and
-
temporal scales - in both terrestrial and aquatic ecosystems, their origination and their response to global changes. To make these connections, we collect data through environmental DNA methods, remote
-
handling: isolation, fixation and vibratome sectioning for immunostaining. AI-assisted image analysis for spatial analysis of tissue samples. Multidisciplinary team work, with immunologists, data scientists
-
knowledge graphs into a simulation-as-a-service middleware. Performing software engineering and data management tasks in support of the realisation of this architecture. Exploring and evaluating different
-
applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about the Engineering Design and Computing Laboratory can be