180 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
their field, and with strong links to the composites industry. Through this project, the candidate will acquire essentials and knowledges in high-volume composites manufacturing, advanced experimental material
-
AI-based diagnostics for fleet-based condition monitoring of electric vehicle motors using machine learning frameworks (S3.5-ELE-Panagiotou)
-
Physics based machine learning algorithm to assess the onset of amplitude modulation in wind turbine noise (with TNEI Group)
-
copied into a giant database, and the law supports that instinct. So how do we let hospitals, clinics and research centres learn from each other while every patient’s information stays safely where it was
-
photonic quantum computers with cloud access. QuiX Quantum is building Europe’s first universal photonic quantum computer using silicon nitride photonic chips for scalable operation. In the US, PsiQuantum is
-
How does a molecule walk? Computer simulations of molecular machines in action
-
Details Panel (longitudinal) data enables learning the dynamics and relations of (groups of) units, strengthening the inference on both cross-sectional and dynamic parameters. The dominant approach
-
with the Assessment & Feedback Officer to support assessment procedures for example by sharing information with students, staff and external examiners. Work with the Digital Learning Advisors to update
-
. Research in the Teaching of English, 22: 9–44. Blakeslee, A.M. (1997). Activity, context, interaction, and authority: Learning to write scientific papers in situ. Journal of Business and Technical
-
-molecule techniques is also essential. The successful candidate will be encouraged to develop and acquire new skills during their time in the role. The University of Sheffield has state of the art facilities