210 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at University of Nottingham
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
facilitates a unified and efficient service for the plant research community. NASC distribute approx. 50,000-70,000 stocks every year worldwide and receive an average of 5,000 new stocks that need to be curated
-
research programme funded by the Academy of Medical Sciences Springboard award. This project aims to explore the role of these neighbouring glycoproteins in neurotrophin-mediated neuronal development as
-
/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate engineering or science degree level qualification and a PhD (or be about to obtain a PhD
-
students with around 894 enrolled in postgraduate programmes including PhD programme. We have a diverse international faculty of 111, based in Ningbo China, coming from 18 countries and regions. English is
-
international students to the school. We currently run an MA programme in International Communications, an MA programme in Digital Screen Production, and also have one of the most successful PhD programmes in
-
and the manager of your substantive post, if you are already undertaking a secondment role. The Leverhulme Trust’s funding regulations mean that individuals will have needed to have submitted their PhD
-
programme. To acquire, analyse, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. To establish a national reputation and
-
/ developing research profile and/ or respected national/ international profile in mixed methods around human-computer interaction PhD or equivalent in relevant subject area or the equivalent in professional
-
leadership contribution to the running of the BMBS programme providing academic oversight of the Advanced Clinical Practice component of the curriculum. This is a 0.2 FTE role which can be undertaken flexibly
-
’ or ‘internationally excellent’. The highly research active SP Section comprises 13 permanent academic staff with research interests in Bayesian computational statistics and machine learning, uncertainty quantification