Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Monash University
- University of Sheffield
- ETH Zurich
- University of Glasgow
- University of Toronto
- Columbia University
- Forschungszentrum Jülich
- SUNY Polytechnic Institute
- Stony Brook University
- University of North Carolina Wilmington
- ;
- Case Western Reserve University
- Erasmus University Rotterdam
- Harvard University
- Michigan State University
- Queensland University of Technology
- RMIT University
- SciLifeLab
- Simons Foundation/Flatiron Institute
- Technical University of Munich
- The University of Chicago
- University of Bristol
- University of Lund
- University of Nebraska–Lincoln
- University of Oregon
- Yale University
- 16 more »
- « less
-
Field
-
collection, pipeline automation, data visualization, and advanced statistical analysis. Candidates must have experience managing large-scale survey datasets, multilevel bayesian modeling, game development, and
-
(SCI), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and
-
to exploit approximate or computational solutions; however, this can be unsatisfactory in that it lacks in valuable physical insight. This insight is often crucial in changing partial mathematical solutions
-
campaigns including programmed screening or Bayesian optimisation. You will characterise the resulting materials, in terms of their properties and performance for an intended application. Sustainability will
-
. Operates one or more systems of computer hardware and statistical analysis software for the management and analysis of data. Evaluates the statistical methods and procedures used to obtain data to ensure
-
, Joshua W. and D.L. Dowe (2005). ``Minimum Message Length and Generalized Bayesian Nets with Asymmetric Languages'', Chapter 11 (pp265-294) in P. Gru:nwald, I. J. Myung and M. A. Pitt (eds.), Advances in
-
this position will continue with their faculty appointment at The Cooper Union. ESSENTIAL FUNCTIONS/RESPONSIBILITIES Expertise in all areas of machine learning including deep learning, Bayesian statistics
-
social science research projects preferred. Experience with Bayesian estimation, machine learning, natural language processing, cloud-based computing, and/or Artificial Intelligence strongly preferred
-
Patrick Billingsley; Inference and Disputed Authorship: The Federalist, an application of Bayesian methods to fix the authorship of the Federalist Papers, by David L. Wallace and Frederick Mosteller
-
technologies like normalizing flows, graph neural networks, and transformers to represent distributions over trees, to improve MSC estimation. These technologies have shown significant improvements in