290 parallel-programming-"Multiple"-"Simons-Foundation"-"EURAXESS"-"Humboldt-Stiftung-Foundation" positions at University of Sheffield in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
methods. An understanding of quantitative data collection, analysis and knowledge mobilisation is desirable. In addition, you will have strong spoken and written communication skills to liaise with multiple
-
and software. Under the direction of the University’s new Office for Open Research and Scholarship , you will also contribute to open research projects on the University’s Research Culture Action Plan
-
minutes for all trial meetings within an appropriate time frame. Prioritise and plan own workload according to operational demands/deadlines with minimal supervision and a proactive approach. Be the first
-
, resourcing, scope, and timeframes for large programs Essential Application form and Interview Exceptional client-facing and customer service experience across all business levels Essential Application form and
-
have experience of working to funder guidelines / eligibility criteria, have excellent organisation skills and be able to work to multiple deadlines across a range of projects. Excellent communication
-
of engineers and developers from multiple disciplines to develop novel solutions for the high-value manufacturing sector. You will be expected to deliver tasks with support from senior colleagues, work
-
improvements in manufacturing performance for our customers. Our projects are collaborative and often complex, involving multiple partners, working on innovative technology to provide practical solutions
-
flares using the assumption of hydrogen recombination continuum emission, in place of a blackbody estimate. In parallel, but not in collaboration, Pietrow, Cretegnier, Druett et al. (2024) have advanced
-
, high-speed parallel processing of powdered feedstock benefits from precise control over material microstructure and offers improved part functionality in a wide range of applications. Students will have
-
of the next generation of multiple-criticality control architectures will allow almost unlimited off-board computational power to be used to optimise operational decision-making in near to real-time