-
Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Aryan
-
, Galois, Defence Science and Technology (DST) and the Universities of Amsterdam, Augsburg, Melbourne and Oldenburg. The post will be based in Sheffield working at Sheffield’s School of Computer Science
-
will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
-
cell biology and disease modelling. The successful applicant will employ human pluripotent stem cell (hPSC)-based models and in vitro differentiation to dissect the links between chromosomal copy number
-
The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr S Cartwright, Dr Patrick
-
and led by Prof Graham Leggett. The aim of our five-year programme is to develop a new modular approach to the creation of photonic materials, inspired by structures found in biological photosynthetic
-
relevant training and development as part of the apprenticeship programme As a member of our Professional staff you will be expected to demonstrate a commitment to the professional behaviours set out in
-
Overview The School of Mechanical, Aerospace and Civil Engineering is seeking to appoint a Part time Portfolio Project Manager, with experience in managing collaborative industry-academic research
-
agricultural management strategies. Depending on the interests of applicants, this project will include computer modelling, data science and ecological data collection. Applications are welcome from any
-
, computer science, neuroscience) to tackle this novel and exciting opportunity. Training will be provided in specific analysis techniques and the successful applicant will acquire advanced computational and