Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- Imperial College London
- University of Oslo
- Nanyang Technological University
- Nature Careers
- University of London
- University of Birmingham
- Indiana University
- King Abdullah University of Science and Technology
- Monash University
- National University of Singapore
- Simons Foundation/Flatiron Institute
- University of Alabama, Tuscaloosa
- University of Bergen
- University of Michigan
- ; Technical University of Denmark
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Australian National University
- Dalhousie University
- Genentech
- Georgetown University
- Harvard University
- La Trobe University
- Purdue University
- Simons Foundation
- Stanford University
- The University of Queensland
- Trinity College Dublin
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Adelaide
- University of Bristol
- University of British Columbia
- University of California
- University of Glasgow
- University of Manchester
- University of New South Wales
- University of Notre Dame
- University of Sheffield
- University of Waterloo
- Zintellect
- 31 more »
- « less
-
Field
-
and familiarity with Bayesian Inference and Markov chain Monte Carlo. Please upload your CV, a cover letter (maximum 2 pages) and names and emails of three contactable referees. The School
-
the timing, scale, and rate of mammal declines in Australia. They will use critical inferences of past demographic change and high-performance computing to disentangle the ecological mechanisms that were
-
computational modeling, geometric morphometrics, multivariate and Bayesian statistics, spatiotemporal and spatial modeling (including GIS), causal inference, machine learning, AI, and statistical software
-
of infectious diseases. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing
-
, which has particular strengths in developing new statistical methodology, including methods for missing data and causal inference. The role will involve application and development of statistical theory
-
model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python
-
architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will conduct research related to creating or testing deep learning models
-
data from the UK using robust causal inference methods. Based in London at the London School of Hygiene & Tropical Medicine, the post-holder will be embedded within the Electronic Health Records Research
-
networks and performing GRN inference, Single-cell RNA-seq, perturb-seq, and/or other transcriptomic analysis, Next generation sequencing and bioinformatics analysis, Machine learning/AI; making, evaluating
-
possible thereafter. The aim of this project is to advance the development of multi-trait Bayesian linear regression models that enable the sharing of genomic information across traits and biological layers