Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Familiarity with brain imaging analysis acquisition Knowledge of multivariate statistics and/or digital signal processing Proficiency in Python. Parallel computing processing experience is highly appreciated
-
methods Experience with advanced statistical methods (e.g., multivariate regression, latent class/profile analysis, structural equation modeling, factor analysis, canonical correlation analysis) Prior peer
-
Complexity» (NewPC). About the project/work tasks The project aims to develop multivariate algorithmic and complexity tools for optimization problems involving geometric and algebraic objects such as points
-
research experience. Advanced Epidemiological & Statistical Analysis: Proficiency or advanced training in applying complex epidemiological methods, linear/non-linear modeling, or multivariate survival
-
candidate at the University of Primorska – PhD study program in Computer Science. It is expected that the researcher will contribute to the projects ERC ARCHI-SKIN, GA #101044468 https://archiskinproject.eu
-
experience in ecological field research and data analysis. Strong quantitative and analytical skills, including experience with ecological modelling and multivariate data analysis. Proven ability to work
-
in Communities (ARIC) study (https://sites.cscc.unc.edu/aric/ ). ARIC is a large-scale prospective epidemiologic cohort which is evaluating associations of mid-life risk factors to risk of
-
skills in multivariate statistics and the measurement of change Familiarity with one or more of the following neuroimaging methods and modalities: functional connectivity, representational similarity
-
https://microbiology-immunology.ecu.edu/ Advertising Department MICROBIOLOGY & IMMUNOLOGY Division ECU Health/BSOM Classification Title Postdoctoral Scholar Competency Level N/A - Not Applicable Working
-
mesocosm and field experiments. Analytical work will be done in close collaboration with the Umeå Proteomics Platform. https://www.umu.se/en/research/infrastructure/umea-proteomics-platform/ The project is