614 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
closely with water utilities. The outcomes will support the development of robust decision-support tools to safeguard drinking water quality and safety under a changing climate. The research programme to be
-
Grade 6 Salary £32,080 - £36,636 per annum Work arrangement Full-time Duration Fixed term until 31 July 2026 Line manager Dr. Rob Deffley/Prof. Dan Cogswell Direct reports N/A Our website https
-
Salary £27,319 - £31,236 with potential to progress to £33,951 Work arrangement Full-time Duration 1 x Permanent Line manager Admissions Team Leader Direct reports N/A Our website https://sheffield.ac.uk
-
, rail and energy applications. The group has well equipped labs and its own office space for the PhD students. Training & Development Your training will begin with an intensive six-month programme at
-
and social media accounts: https://www.helenmatthewslab.org/ https://sites.google.com/sheffield.ac.uk/maib-lab https://www.sheffield.ac.uk/biosciences/academic-staff/people/elizabeth-smythe Bluesky
-
our groups, please visit our websites: https://www.thebarbariclab.com/ ; https://www.sheffield.ac.uk/biosciences/people/academic-staff/ivana-barbaric, and https://sheffield.ac.uk/smph/people/academic
-
@ZahraaAhmady, @zalahmady.bsky.social An information webinar for prospective applicants will be held online on Wednesday, 12 November 4:00 – 5:00pm. Register your interest here: https://forms.gle
-
Services (Careers & Employability) Direct reports Data & Reporting Analyst; Careers Information Systems Officer Our website https://www.sheffield.ac.uk/careers For informal enquiries about this job contact
-
Production) programme, one of the major challenges is to develop manufacturing techniques that can deliver complex, high-integrity and scalable reactor components. This PhD project will focus
-
Sheffield to enable massively parallel processing of ABMs on NVIDIA graphics processing units (GPUs), without the need for specialist understanding of GPU programming or optimisation. This project will