Sort by
Refine Your Search
-
structure formation. You will work as part of an international, interdisciplinary team in a vibrant research environment, within the Ecology and Evolutionary Biology research cluster. Applicants must have a
-
the analysis of facial movements. Subtle features such as facial asymmetry, impaired muscle control, and abnormal expression patterns often emerge during the acute phase of stroke. By designing algorithms
-
, autonomous learning agents are likely to take an active role in human society, engaging in daily interaction and collaboration with humans. Developing learning algorithms that enable these agents to produce
-
. Without these guarantees, the algorithms will remain limited to experimental testbeds. The aim of this project is to address this limitation by combining the complexity of deep-learning control policies
-
join the Ecology & Evolutionary Biology Research Cluster in the University of Sheffield’s School of Biosciences, benefiting from state-of-the-art NERC Environmental Omics Facility (NEOF). The supervisory
-
designing and analysing complex ecological experiments. You will join a collaborative research group at the interface of molecular and evolutionary microbiology, soil science, and sustainable agriculture with
-
evolutionary/developmental biologists to immunologists/clinicians. For informal enquiries about the project, please contact Prof Simon Johnston (s.a.johnston@sheffield.ac.uk) Link to website: https
-
algorithms using Monte Carlo simulation and Bayesian inference to distinguish normal tritium losses from suspicious discrepancies during transport, and to develop statistical thresholds that balance detection
-
haptic guidance methods that respond to operator skill levels. Identify trajectory features that characterise expert performance for training robots. Develop algorithms that allow robots to refine
-
extraction? What would be the best choice of solvent? What is the optimal route to recycle the water in the fermentation broth? Answering these questions requires us to develop new design algorithms. It is