Sort by
Refine Your Search
-
background; experience in analyzing epidemiological data using R, STATA, SAS or other statistical packages; demonstrated expertise in the analysis of large and complex datasets; excellent written and oral
-
pursue a coherent research agenda the ability to develop a body of high-quality publications in scholarly journals with global impact proficiency in statistical software packages, including SPSS and R
-
cognitive neuroscience and machine learning techniques to study learning, cognitive functioning, language processing, and reading acquisition. Candidates will conduct EEG research on implicit statistical
-
statistical software packages An excellent command of written and spoken English What We Offer The appointment will commence as soon as possible on a 1-year fixed-term basis, with the possibility of renewal
-
Post-doctoral Fellow/Senior Research Assistant in the Department of Family Medicine and Primary Care
. Applicants should possess a Ph.D. degree in public health, health economics, biostatistics, computer sciences, or a related quantitative discipline. They must be proficient in data analysis using statistical
-
Post-doctoral Fellow/Senior Research Assistant in the Department of Family Medicine and Primary Care
quantitative discipline. They must be proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English, and a
-
complex statistical analyses (SEM) would be highly desirable. Applicants should be responsible, self-motivated, and able to work independently. They should also have good analytical skills and high
-
managing and analyzing quantitative research data using advanced statistical methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Good
-
response theory (IRT) analyses, confirmatory factor analyses (CFA), and other complex statistical analyses (SEM) would be highly desirable. Applicants should be responsible, self-motivated, and able to work
-
proficiency in statistical software packages, including SPSS and R, for large and complex data analysis proven knowledge and experience in undertaking research related to end-of-life care is advantageous What