Objective
University of Liverpool Department of Clinical Psychology RESEARCH FELLOW Statistical Analysis of Sequential Psychological Data Applications are invited for a full-time post as research fellow for a two-year project developing novel statistical methods of analyzing sequential psychological data. The post, supported by the Marie Curie Foundation, will involve a number of elements. The successful applicant will work with members of the department to re-analyze existing databases collected in the course of Medical Research Council and other funded research into doctor-patient communication, psychotic conditions and personality disorders in order to examine sequential and iterative patterns. They will assist the members of the department develop new skills in these areas. They will collaborate with members of the department to collect new data examining sequential relationships and will collaborate in applications for new grant-funded research. The successful applicant will be employed in the Department of Clinical Psychology, University of Liverpool. This Department, which has a history of more than thirty years, consists of a lively, friendly and productive group of people dedicated to high quality teaching, to innovation in clinical practice and to excellence in research. The research group specifically supporting this fellowship consists of 10 individuals with international reputations in the study of clinical communication, psychotic experiences and personality disorders. Applicants should have a PhD in psychology or a relevant social science discipline with appropriate experience in the use of novel statistical and computational analytic techniques. It is expected that the successful applicant will have a number of peer-review publications that include the use of novel multivariate or computational statistical analytic techniques and demonstrate an ability to use such techniques for the analysis of iterative, sequential or time-series data sets.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences databases
- humanities history and archaeology history
- social sciences psychology
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
L69 3GB LIVERPOOL
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.