278 programming-"Multiple"-"Duke-University"-"O.P"-"FEMTO-ST-institute"-"U.S" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
awareness of faculty disciplinary themes and/or departmental research priorities and plan workflow and resources accordingly. Represent the Hub and/or Faculty at University forums, strategic project teams
-
environments and inaccurate prior maps, to name a few. In order to cope with these challenges different methods will be developed. Knowledge of Bayesian methods for sensor data fusion, mapping and multiple
-
nationally and internationally. Plan, undertake and/or oversee the statistical analysis of research projects (primarily randomised controlled trials), and contribute to their reporting and dissemination. Lead
-
personal development budget which can be used for relevant professional development activities including a residential programme at Ashorne Hill to further develop your professional skills and network. You
-
Health programme (Chief Investigator, Dr Matthew Franklin ) to evaluate the (cost-)effectiveness of mental health treatments used with Talking Therapies for anxiety and depression services using NHS real
-
. These techniques are highly novel and have great potential to transform energy storage device manufacture. You will perform research at multiple length scales, generate mechanistic understanding of particle
-
scientist/engineer to join us on this adventure. You will have excellent instrumentation, data analysis, scientific programming, and communication skills and be able to plan and organise your time effectively
-
m.p.sanderson@sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process will consist of an interview. We plan to let candidates know if they have progressed
-
decision with multiple data sources. One example is to develop the semi-supervised methods and dynamic system interfacing algorithms to produce an automated and real-time information exchange across
-
particularly welcome proposals that look to data-mine multiple language sources as a core to the research method. The successful candidate will have academic experience in applying digital methodologies