Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- KINGS COLLEGE LONDON
- King Abdullah University of Science and Technology
- Purdue University
- UNIVERSITY OF HELSINKI
- University of Maine
- University of Oxford
- University of Washington
- Argonne
- Aston University
- Brookhaven Lab
- Brookhaven National Laboratory
- Centro de Investigación en Matemáticas
- Dartmouth College
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Duke University
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- French National Research Institute for Sustainable Development
- Friedrich Schiller University Jena
- Georgetown University
- Indiana University
- Instytut Paleobiologii Polska Akademia Nauk
- Japan Agency for Marine-Earth Science and Technology
- Johns Hopkins University
- King's College London;
- Massachusetts Institute of Technology
- National Aeronautics and Space Administration (NASA)
- Nature Careers
- North Carolina State University
- The Ohio State University
- The University of Arizona
- Umeå University
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); yesterday published
- University of California Davis
- University of Colorado
- University of Florida
- University of Idaho
- University of Luxembourg
- University of Oxford;
- University of Sydney
- University of Virginia
- Virginia Tech
- 35 more »
- « less
-
Field
-
for a Postdoctoral Scholar. The Scholar will conduct research on Bayesian spatiotemporal modeling methodology under the direction of Professor David Dunson at Duke on developing novel models motivated by
-
/Seurat, count models, batch correction, differential analyses). Strong grounding in statistics (GLMs, hierarchical/Bayesian modeling, multiple testing) and experimental-design principles. Bioinformatics
-
-development and refinement of conceptual models; devising management scenarios; building network models in one or more platforms (e.g., loop analysis/qpress; fuzzy cognitive maps/Mental Modeler; Bayesian belief
-
mathematical background, including expertise in stochastic optimization (e.g. Markov decision theory and dynamic programming) and applied probability (Bayesian statistics). Excellent coding skills (e.g., in Java
-
: developing and testing new approaches to water resources modelling, application of Bayesian inference methods to environmental problems, machine learning and data science applications, undertaking analysis and
-
to implement advanced computational pipelines, including machine learning, deep learning, Bayesian inference, and probabilistic mixed membership modeling for innovative research. · Contribute
-
(e.g. Python, R) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience of using Bayesian methods in both model development and fitting
-
of using Bayesian methods in both model development and fitting. Previous experience and knowledge of research methods and study design in clinical trials. Knowledge of Good Clinical Practice (GCP) in
-
with statistical modeling (ideally Bayesian statistics) • Proficiency in Fortran, R, Python, Matlab, or ideally other common languages (e.g., C/C++) Strong computational skills Strong oral and written
-
. Experience leading investigations linking simulations to observational data. Experience with statistical characterization of data, preferably within a Bayesian framework. Job Description: A Post-doctoral