Sort by
Refine Your Search
-
., environmental monitoring and disaster emergency response tasks). Supervisor Bio Jefersson A. dos Santos is an Assistant Professor (Lecturer) in Computer Vision at the University of Sheffield. More info
-
/people/academic/jungong-han About the Department/Research Group The student will work in the computer vision group within the department of computer science at the University of Sheffield. 99 percent of
-
EPSRC PhD Studentship in: Big Data, Network Complexity and Machine Learning to Deliver Targeted Pro-active DWDS Maintenance Department of Civil and Structural Engineering PhD Research Project
-
). The application of machine learning and Big Data techniques will enable assessment of the antecedent institutional, disclosure, governance, and micro-level factors necessary for P2P funding success in the German
-
observations like 2D images and transferring those pose/style statuses to 3D characters. By leveraging cutting-edge machine learning models, the project aims to produce accurate estimation of human movements and
-
networks of these devices we will use digital twins; machine learning models trained to predict physical systems but are differentiable. This project will advance the machine learning methods, particularly
-
EPSRC CASE Studentship. University of Sheffield and Syngenta Crop Protection Machine learning is increasingly used for decision making and molecular design in the pharmaceutical and crop protection
-
potential for deploying machine learning techniques in the analysis phase (e.g. using R analytics). The successful candidate will have a scholarly interest in behaviour, leadership, relationships and/or
-
materials using the framework of atomistic spin dynamics with coupled spin-lattice dynamics. To undertake this, we will first explore the use of machine learning to create models of the interactions between
-
sensor data. Supervisor Bio Dr. Matthew Ellis’ research intersects machine learning and physics; looking to better integrate advances in both to create new paradigms for computing. With a background in