Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
Associate in statistics to the 3-year Engineering & Physical Sciences Research Council funded project PINCODE: Pooling INference and Combining Distributions Exactly: A Bayesian Approach. The Bayesian fusion
-
number of health and wellbeing initiatives to support you. Closing Date: 23 June 2024 The Role The School of Mathematics, Statistics and Physics (MSP) at Newcastle University is seeking to recruit a
-
of Mathematics, Statistics, and Physics 2024 Postgraduate Teaching Assistant campaign. This role will open the door to enthusiastic and inspiring individuals who are passionate about an academic career with us
-
the UK. Activities will include: data preparation, statistical/epidemiological analysis, interpretation and dissemination. You should have post-graduate training and/or significant work experience in
-
, statistical and computational skills, and ability to work independently and as part of a team. Successful candidates will be mentored by an experienced member of academic staff throughout their term in one
-
to demonstrate some postgraduate-level training (or have equivalent experience) in the use of corprora and/or online acceptability judgements, including statistical analysis of results. You will be based
-
the potential to be a strong role model for the values of equality, diversity and inclusion. Applications are invited for a Lecturer within the School of Mathematics, Statistics and Physics. The post is offered
-
families • Excellent planning and organisation skills and ability to prioritise competing demands • Expertise in advanced statistical analyses • Clinical experience of working with people with
-
/rapid reviews/policy briefings and evidence synthesis projects Desirable Experience of applying Artificial Intelligence tools to support research. Experience of using statistical software such as R
-
knowledge in bioinformatics Detailed subject knowledge in biology Understanding of the application of statistical methods to omics studies Experience with the research environment (design and delivery