355 data-"https:" "https:" "https:" "https:" "https:" "https:" "Eindhoven University of Technology (TU" positions at University of Nottingham
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
please access: https://jobs.nottingham.edu.cn/job/184348/ If you are unable to apply on-line please contact the Human Resources Department, Tel: 86 574 8818 000 (Ext. 8404), Email: Job@nottingham.edu.cn
-
proposals for both individual and collaborative projects, utilizing established methodologies and techniques to execute research effectively within the specified area; To analyze data meticulously, interpret
-
Relations, Comparative Politics, Political Economy. Especially attractive will be someone with a track record in quantitative research methods, data science or (political) philosophy. Experience with
-
with a 1st class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http
-
Nottingham University Business School is one of the UK’s leading business schools and a globally ranked centre for management education of the UK’s most successful universities. Further information
-
arrangements with you. If it sounds like you would be a good fit, we look forward to hearing from you. For information about the School of Mathematical Sciences and active research themes see: http
-
. All of our vacancies are available to view at: https://www.nottingham.ac.uk/jobs/home.aspx #INT #LI-DNI Our university is a supportive, inclusive, caring and positive community. We welcome those
-
qualification as recognised by the DfE https://www.gov.uk/government/publications/early-years-qualifications-achieved-in-england It is a requirement of the post that a satisfactory enhanced disclosure is obtained
-
licence is also essential for this role. Further information on the duties for the post and the experience and qualifications required can be found on the attached job role profile. What’s in it for you
-
to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show