102 algorithm-development-"Multiple"-"University-of-California,-Santa-Cruz" positions at University of Newcastle
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
(or develop local procedures where necessary) and communicate these effectively to ensure that related teams across NUIT are working to the same direction and standards Ensure that there is up to date and
-
will play a key role in helping to raise the profile of the Centre by supporting the development and creation of engaging content in the form of blogs, articles, social media copy and digital material
-
that contribute to the effective delivery of the school’s mission. Working closely with the Assistant Operations Manager and the Deputy Head of School Operations, you will support the development and implementation
-
that contribute to the effective delivery of the school’s mission. Working closely with the Assistant Operations Manager and the Deputy Head of School Operations, you will support the development and implementation
-
Advanced), and R To contribute to the development of research projects, working with staff to shape the research agenda and disseminate findings To contribute to laboratory related training and research
-
well as vascular and cancer researchers based in Newcastle, Leeds and Sheffield. This project will provide an opportunity to develop and expand the fast-growing research area of cardio-oncology, with a unique angle
-
economic, social and cultural development of the North East of England. Our research community works across disciplines to tackle global challenges in sustainable energy, transport, and advanced
-
funding remit https://www.ukri.org/councils/epsrc/guidance-for-applicants/epsrc-remit/ As well as undertaking significant new work the fellowship aims to develop independent researchers with applicants
-
funding remit https://www.ukri.org/councils/epsrc/guidance-for-applicants/epsrc-remit/ As well as undertaking significant new work the fellowship aims to develop independent researchers with applicants
-
work on the development and implementation of machine learning models aimed at detecting urban drainage infrastructure components (such as stormwater drains, sewers, and manholes) from publicly available