Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Baylor College of Medicine
- Center for Drug Evaluation and Research (CDER)
- NTNU - Norwegian University of Science and Technology
- University of Bergen
- University of Oslo
- City of Hope
- Faculdade de Ciências da Universidade de Lisboa
- Harvard University
- Nanyang Technological University
- National University of Singapore
- Queen's University Belfast
- The University of Queensland
- UNIVERSITY OF SURREY
- University of Aveiro
- University of British Columbia
- University of Guelph
- University of Nottingham
- University of South Carolina
- University of South-Eastern Norway
- Zintellect
- 11 more »
- « less
-
Field
-
development, data collection and multivariate analysis, regulatory compliance, and manuscript and abstract preparation. Fellows are also expected to engage in departmental and institutional seminars, continuing
-
Center for Drug Evaluation and Research (CDER) | Saint Louis, Missouri | United States | about 17 hours ago
. Advance skills in chemometrics and quantitative data analysis by applying multivariate and post-acquisition processing approaches to complex spectroscopic and imaging datasets and developing reproducible
-
quantitative genetics methodologies for predictive breeding. Key responsibilities will include, but not limited to: Research: Conduct univariate and multivariate statistical analyses of large, multidimensional
-
machine-learning, predictive-modelling or multivariate methods to behavioural and/or EEG data. Proficiency in R, MATLAB and Python. What we can offer In return we offer a generous pension, relocation
-
, computational and multivariate methods to large and complex datasets, with careful attention to reproducibility and validation. · Lead the preparation of manuscripts and scientific presentations and contribute
-
Fellowship Description The Department of Mathematics and Statistics at the University of Guelph invites applications for a Postdoctoral Fellow specializing in multivariate statistical methods
-
preparing analytic datasets, assessing data quality and missingness, developing reproducible statistical code, conducting descriptive and multivariable analyses, interpreting findings, preparing tables and
-
well as the modelling of coastal processes. Familiarity with Bayesian analysis, extreme value analysis and multivariate analysis will be advantageous. Only shortlisted applicants will be notified. Job Requirements
-
statistical techniques to analyse large datasets, e.g. multivariate statistical analyses / survival analysis - Recent, relevant experience of using statistical packages STATA or R to conduct reproducible
-
multivariate analyses and network analyses Excellent academic record with scientific publication in relevant fields Excellent oral and written presentation skills in English If you do not already have