Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- Imperial College London
- University of Utah
- University of British Columbia
- University of Cambridge
- Wayne State University
- ; University of Cambridge
- AALTO UNIVERSITY
- DAAD
- Duke University
- Ghent University
- ICN2
- Leibniz
- Nature Careers
- Technical University of Denmark
- University of California Irvine
- University of Florida
- University of Lethbridge
- University of Luxembourg
- University of Newcastle
- University of Pennsylvania
- University of Pittsburgh
- University of Tübingen
- 13 more »
- « less
-
Field
-
optimization techniques, coding new algorithms, creating new mathematical theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics
-
of multiple administrative data sets. Conduct data analysis (descriptive, bivariate, predictive, longitudinal, etc.). Write reports for funders and interested parties and prepare manuscripts and presentations
-
of multiple administrative data sets. Conduct data analysis (descriptive, bivariate, predictive, longitudinal, etc.). Write reports for funders and interested parties, and prepare manuscripts and presentations
-
computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
-
contexts, for example to help understand and predict the performance of polysaccharides in food systems and drivers of polysaccharide evolution (manuscript attached). Once promising candidate polymers have
-
computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
-
microbial communities. In this role, you will develop hybrid species distribution models that combine climate and landscape data to predict how microbial taxa niches shift under changing land use and
-
predicts the interactions of the evidentials with different types of speech act and syntactic contexts. The position begins on October 1, 2025 (or shortly after) and will run until June 30, 2029. The ideal
-
Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
-
effect can be predicted. You will acquire in-situ and remote-sensing data of cirrus forming downwind of flights over the past decade, along with measurements/estimates of local conditions and emissions