Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
communication and collaboration skills Preferred: Experience with simulation-based inference and Bayesian methods Familiarity with cosmological simulations or observational cosmology ML architecture design and
-
designs such as observational study, randomized clinical trial, adaptive randomizations, Bayesian analysis of randomized trials, conventional meta-analysis, meta-regression, and network meta-analysis Work
-
randomizations, Bayesian analysis of randomized trials, conventional meta-analysis, meta-regression, and network meta-analysis. · Develop as an educator by taking an active teaching role in POCUS and EBM
-
-based networks graph-based approaches Bayesian learning information theory Documented strong programming skills (preferably Python), for example with contributions to open-source projects, with an active
-
the graduate curriculum, and social sciences scholarship across the school. Examples of topic areas include (but are NOT limited to): models for inference (e.g., SEM/CFA, Bayesian modeling, linear mixed effects
-
of statistical machine learning, (hierarchical) Bayesian modelling, as well as advanced deep neural models for processing linguistic and visual data in humans and machines; and Computational Models of Brain and
-
topics such as: neural networks self-supervised learning convolutional neural networks transformer-based networks graph-based approaches Bayesian learning information theory Documented strong programming
-
-dimensional data analysis, statistical machine learning, computational statistics, and uncertainty quantification?with applications in areas such as imaging, spatial, network, and genomics data. The appointment
-
modelling approach, and dynamic Bayesian Networks would be advantageous. Willingness to conduct research in a multi-national project team. Funding requirements: You cannot have resided in The Netherlands in
-
Science, such as: Optimization, Machine Learning, Statistical Learning, Applied Probability, Graph Theory and Network Science, or Computational Statistics, with opportunities for cross-disciplinary