552 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can apply for a Scholarship from the University of Sheffield but should note that
-
EngD: Enhancing productivity in manufacturing through automation and autonomy in computer aided process planning (sponsored by Boeing) EPSRC Centre for Doctoral Training in Machining, Assembly, and
-
Development and Validation of a Multimodal Wearable Headband for Objective Bruxism Monitoring Using Machine Learning (S3.5-DEN-Boissonade) School of Clinical Dentistry PhD Research Project
-
the third Higgs boson decays to two tau leptons, or another highly sensitive combination. The student will gain expertise in machine learning techniques for signal-background discrimination and will
-
, November, 427–435. https://doi.org/10.1201/9781003558859-47 [2] Rui, S., Xu, H., Teng, L., Xi, C., Sun, X., Zhang, H., & Shen, K. (2023). A Framework for Mooring and Anchor Design in Sand Considering Seabed
-
macropinosomes to retrieve membrane proteins and therefore sustain both immune and cancer cell function. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying
-
Fully-funded EPSRC CDT in Machining, Assembly and Digital Engineering for Manufacturing (MADE4Manufacturing) School of Mechanical, Aerospace and Civil Engineering EPSRC Centre for Doctoral Training
-
of technologies that are used in academia, industry and many related careers. Visit http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk
-
accepted all year round Details Project description: Morphogenesis—the process by which tissues acquire their shape—is central to the development and function of all multicellular life. It is increasingly
-
the field to inform farmers of varying soil conditions through traditional remote sensing techniques. For further Information, please email p.stowell@sheffield.ac.uk or look at the University’s website: https