Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- KU Leuven
- Department of Physics and Astronomy, Bologna University
- FCiências.ID
- Leibniz
- UAB
- Wageningen University and Research Center
- Baylor College of Medicine
- ETH Zurich
- ETH Zürich
- Free University of Amsterdam
- GESIS - Leibniz Institut für Sozialwissenschaften
- National and Kapodistrian University of Athens
- Pavol Jozef Šafárik University in Košice
- UiT The Arctic Univeristy of Norway
- Universidad de Alicante
- University Toulouse III - Paul Sabatier
- University of Copenhagen
- University of Nicosia Medical School
- Vlaams Instituut voor de Zee
- Vrije Universiteit Amsterdam
- Wageningen University & Research
- 11 more »
- « less
-
Field
-
on graphics processors (GPUs).Literature:1.N. Cressie and C.K. Wikle, Statistics for spatio-temporal data. John Wiley & Sons, 2015.2.M. Žukovič and D.T. Hristopulos, Gibbs Markov random fields with
-
writing skills are a plus. Knowledge of Dutch is recommended, willingness to learn Dutch is necessary to work with surveys. Knowledge of statistics. Main responsibilities To plan and perform a research
-
, Computer science, Mathematics, Statistics, Engineering or related fields) interested in learning and developing Network and Machine Learning tools for the analysis and construction of Knowledge Graphs
-
master’s degree in a relevant discipline (Physics, Computer science, Mathematics, Statistics, Engineering or related fields) interested in learning and developing AI-assisted tools for information extraction
-
loss data. Computing skills including experience in advanced statistic programming languages (R and/or Python), remote sensing and GIS software (Google Earth Engine, ArcGIS and/or QGIS). Demonstrated
-
. Basic computing skills including some level of experience in advanced statistic programming languages (e.g., R). Previous fieldwork experience working with Indigenous Peoples and local communities. A
-
will supervise the mechanistic aspects of the project.•Dr. Douwe Molenaar, associated professor is an expert in microbiology, bioinformatics and multivariate statistics. He will supervise the data-driven
-
that to others, and know when to apply which method. You have a rigorous statistics training in causal inference, and a strong command of Stata and/or R have, at the time of appointment, completed a
-
rigorous statistics training in causal inference, and a strong command of Stata and/or R have, at the time of appointment, completed a Master’s degree in Economics, Political Science, Data Science, or a
-
techniques for environmental sciences – information provided in the CV and/or motivation letter; e) Experience in statistical analysis, preferably in an R environment – information provided in the CV and/or