Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Monash University
- ;
- Nature Careers
- University of Sheffield
- ETH Zurich
- University of Bristol
- NIST
- Stony Brook University
- University of Glasgow
- University of Toronto
- California State University, Fullerton
- Columbia University
- Forschungszentrum Jülich
- Montana State University
- Northeastern University
- Rice University
- SUNY Polytechnic Institute
- SUNY University at Buffalo
- SciLifeLab
- University of Bristol;
- University of Miami
- University of Minnesota
- University of Vienna
- University of Washington
- Zintellect
- Beijing Normal-Hong Kong Baptist University (BNBU)
- CEA
- CNRS
- California State University
- Cardiff University
- Dalhousie University
- Duke University
- FLINDERS UNIVERSITY
- Flinders University
- Fraunhofer-Gesellschaft
- Freenome
- Harbin Engineering University
- Heriot Watt University
- Institut Pasteur
- KINGS COLLEGE LONDON
- King's College London
- Malopolska Centre of Biotechnology
- Nanyang Technological University
- North Carolina State University
- Oak Ridge National Laboratory
- Rutgers University
- Syracuse University
- Technical University of Munich
- The California State University
- The Ohio State University
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of California
- University of California, Los Angeles
- University of California, San Diego
- University of Delaware
- University of Florida
- University of Houston Central Campus
- University of Manchester
- University of Massachusetts
- University of Michigan
- University of Nebraska–Lincoln
- University of New South Wales
- University of North Carolina at Chapel Hill
- University of Nottingham
- University of Pittsburgh
- University of South Carolina
- University of Texas at Arlington
- University of Texas at Austin
- University of Warsaw
- Université d'Orléans
- 61 more »
- « less
-
Field
-
/Seurat, count models, batch correction, differential analyses). Strong grounding in statistics (GLMs, hierarchical/Bayesian modeling, multiple testing) and experimental-design principles. Bioinformatics
-
of electromagnetic wave physics or astrophysics, considered an asset. - Experience with advanced statistics and Bayesian inference, which will be regarded as a plus. Familiarity with compressed sensing and the ability
-
in at least one of the following domains: mathematical statistics, machine learning, deep learning, natural language processing, Bayesian inference.
-
research areas include biostatistics, Bayesian methods, environmental and ecological statistics, multivariate statistics, spatial and spatiotemporal analysis, sports analytics, and statistics and data
-
for mathematics across the CWTS Leiden, ARWU, USNews, and QS rankings. In Statistics, the School has research strengths in Bayesian and Monte Carlo Methods, Biostatistics and Ecology, Combinatorics, Data Science
-
, to support predictive modelling, deep phenotyping, and real-world evidence generation. Apply and refine causal inference methodologies, such as structural equation modelling and Bayesian approaches, to better
-
spans from advanced theoretical and methodological Statistics (classical and Bayesian) to diverse applications, allowing for comprehensive research approaches. Our members work on Design of Experiments
-
-concentrating mechanism, which includes carboxysomes. Molecular clock analyses place the origin of the CSP clade firmly in the Neoproterozoic. To test these competing interpretations, we will use Bayesian
-
learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
-
. Knowledge of ensemble reweighting techniques (e.g., Bayesian approaches, metainference) and the ability to assess model-to-data fit quality. Proficiency in Unix/Linux environments and solid programming skills