19 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at University of Sheffield
Sort by
Refine Your Search
-
sector. We are seeking a motivated student with interests in developmental biology and disease modelling. This interdisciplinary project combines both wet bench work and computational work (image analysis
-
programme. This post will be predominantly patient focused, playing a key role in helping to deliver cutting edge gene therapy and experimental medicine trials. The ability to implement good clinical practice
-
, MA and PhD level. The department runs two large political science programmes at BA and MA level and a specialized programme in Peace and Conflict Studies at MA level. In addition, the department hosts
-
& multidisciplinary research programme focusing on evidence generation to further methodology research and to enable the design & development of in-vitro diagnostics and medical devices for patients and the NHS. NIHR
-
not fully, but in a “good enough” way. I.e. capturing the emergence of some quantum properties reasonably well, while the computational cost increases only moderately. One direction is spin dynamics
-
the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at Degree in Engineering, Computer Science, Physics, or equivalent experience in a technical data/control systems role
-
subject such as a BSc in Psychology, Computer Science, Data Science, Health Informatics, or another health-related field (assessed at application). Experience of working with large, complex multi-variable
-
Overview An exciting opportunity has arisen for a highly motivated clinical trainee with a background in data science, to join our Motor Neurone Disease/Neurodegeneration clinical research programme
-
Statistical Analysis Plan guidance (APT-SAP)’ project (https://sheffield.ac.uk/ctru/current-trials/apt-sap ). Provide high-quality statistical advice and support to multidisciplinary research projects within
-
international, interdisciplinary team. Applicants should hold a good honours degree (or equivalent) in computer science, engineering, or a related field, with strong programming skills in Python and familiarity