Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Imperial College London
- ;
- Nanyang Technological University
- University of Bergen
- University of Oslo
- Nature Careers
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Australian National University
- Dalhousie University
- King Abdullah University of Science and Technology
- La Trobe University
- London School of Hygiene & Tropical Medicine;
- Max Planck Institutes
- Monash University
- Purdue University
- The University of Queensland
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Adelaide
- University of Alabama, Tuscaloosa
- University of Birmingham
- University of Glasgow
- University of London
- University of Manchester
- University of Michigan
- University of Waterloo
- Zintellect
- 17 more »
- « less
-
Field
-
fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian
-
fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian
-
of Oslo. Job description A fully funded PhD position is available on the development of spatiotemporal statistical modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian
-
designs and methods, clinical trial methods, Bayesian methods, and developing R packages and scalable algorithms. Opportunities for collaboration across the Department of Biostatistics and the Medical
-
expertise in machine learning and/or Bayesian models is preferred. This position will involve both methodology development and analysis of multi-omic sequencing data, including spatial transcriptomic data
-
collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
-
of current issues and future directions within the field of Active Inference, control theory or Bayesian inference. B7 Experience with building computational models of human users in an interaction setting. B8
-
metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
-
and statistics, with expertise spanning time series analysis, Bayesian inference, financial econometrics, and data analytics. As home to one of the strongest forecasting research groups worldwide, we
-
, epidemiology. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and model fitting, including Bayesian model fitting, is desirable but not