324 algorithm-development-"Prof"-"Prof"-"Prof" positions at University of Sheffield in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
provision, simplify processes and support product development. The Lead Technology Architect leads the development of the University's Technology Architecture to ensure all technology-enabled solutions align
-
to improve service provision, simplify processes and support product development. The Solution Architect role is located within the Enterprise Architecture practice and will lead on the development of solution
-
between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
-
al. 2023). This study has not been performed in multi-dimensional simulations due to a lack of available simulation software. Ruan et al. (2020) developed the first beam-MHD hybrid model capable
-
industry. A damage-tolerant approach is being developed to predict the fatigue life and optimise the design of thinner parts. Cracks are allowed in parts of an aircraft but must be frequently monitored
-
to increase the visibility and recognition of research data stewards across the University, and identify opportunities for training, development, and the sharing of best practice in research data management
-
Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
learning. The research will explore how AI-enabled adversaries manipulate ICS environments (e.g. robotic arms, sensor networks) and develop robust detection and response frameworks. By combining real-world
-
clinical trials and intervention evaluation studies. The Senior Lecturer/CTRU Portfolio Lead will be responsible for trial design, grant development and submission as well as senior level oversight of study
-
. The ultimate goal is to develop theory and methods for the construction of low-complexity invariant sets, using computationally tractable algorithms. Funding Notes This is a self-funded research project. We
-
; and (4) utilise adaptive laboratory evolution (ALE) to enhance the growth of genetically engineered strains and identify mutations using genomic sequencing. Applicants must hold a degree in a relevant