245 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"U.S" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation School of Electrical and Electronic Engineering PhD Research Project Self Funded
-
Modelling of Compressive Transverse Cracking on Composite Laminates School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application Deadline
-
Donor Relations Officer, you will run the stewardship programme for our growing scholarship scheme, including producing student-focused impact reports for our community of major donors. This is a great
-
Doctoral Network. Applicant qualifications: An Undergraduate or Master’s degree in Engineering, Mathematics, Computer Science, Physics, or a closely related discipline. Proficiency in programming using
-
Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr K Mumtaz Application
-
recognition, and diarisation. About the School and Research Group You will be a member of the Speech and Hearing research group in the School of Computer Science at the University of Sheffield and an
-
Computational modelling of the emergence of somatosensory cortical maps School of Psychology PhD Research Project Self Funded Dr Hannes Saal, Dr SP Wilson Application Deadline: Applications
-
Characterization and convergence of non-Brownian webs School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Nic Freeman Application Deadline: Applications accepted all
-
Bridging Causality and Forecasting in Space Weather: A Transparent Complex Systems Modelling and Interpretable Machine Learning Framework School of Electrical and Electronic Engineering PhD Research
-
. Candidates are expected to possess a degree in Software Engineering or Computer Science. Specifically, applicants must demonstrate experience in writing tools to address flaky tests and have encountered them