688 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
duties and responsibilities Make an active contribution to the establishment of novel instrumented external test beds, and in developing suitable tools for the data analysis activities planned in
-
and clinicians without reliable data to inform treatments. This PhD project directly addresses these challenges by developing an innovative wearable device that comfortably and discreetly captures vital
-
Ability to organise, plan and progress research activities Essential Application/Interview Willingness to tackle unfamiliar tasks and develop new skills Essential Application/Interview Further Information
-
energy infrastructure is designed with a focus on efficiency and reliability under “normal” conditions. Traditional risk assessment methods look at historical data and isolated failure scenarios. But in a
-
Giving team in CAR, this role encourages people to make gifts of up to £10,000 using a data-driven approach and a range of communication and fundraising channels. The Fundraising Officer will also
-
electronic devices. Yet, despite this potential, no examples of information-rich 2D materials have ever been created. Nature, provides a blueprint. Biological macromolecules such as DNA and proteins store and
-
). The Spatial Living Biobank leverages unique cell models, tissue and data to capture complex spatial differences within solid tumours and improve cancer drug development. This Fellowship is focused on furthering
-
at the University of Sheffield. Single photons are the indispensable information carriers for core quantum technologies, including quantum communication and computation. The critical hurdle is the reliable
-
or desirable Stage(s) assessed at Bachelor’s or master’s degree in human-computer interaction, education, public policy, or other related discipline (or equivalent relevant experience) Essential Application
-
using deep learning. These data-driven approaches have proven to be highly flexible and powerful, able to generate nonlinear control policies able to act on the nonlinear plasma dynamics by learning