Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Monash University
- University of Sheffield
- CNRS
- Nature Careers
- UNIVERSITY OF HELSINKI
- Rutgers University
- University of Bristol
- KINGS COLLEGE LONDON
- Montana State University
- Oak Ridge National Laboratory
- Rice University
- SciLifeLab
- University of Colorado
- University of Glasgow
- ETH Zurich
- King Abdullah University of Science and Technology
- NIST
- SUNY Polytechnic Institute
- Stony Brook University
- Technical University of Munich
- University of Birmingham
- University of Bristol;
- University of North Carolina at Chapel Hill
- University of Washington
- ;
- Aalborg University
- California State University, Northridge
- Columbia University
- Cornell University
- Delft University of Technology (TU Delft)
- Forschungszentrum Jülich
- Heidelberg University
- Indiana University
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Nanyang Technological University
- North Carolina State University
- Northeastern University
- Purdue University
- SUNY University at Buffalo
- The California State University
- The Ohio State University
- UNIVERSITY OF VIENNA
- UiT The Arctic University of Norway
- University of Bergen
- University of British Columbia
- University of California San Francisco
- University of Cincinnati
- University of Florida
- University of London
- University of Maine
- University of Manchester
- University of Minnesota
- University of Oslo
- University of Oxford
- University of Southern Denmark
- University of Texas at Austin
- University of Toronto
- University of Vienna
- Université d'Orléans
- Zintellect
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Aalborg Universitet
- Argonne
- Aston University
- Auburn University
- Australian National University
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- Basque Center for Applied Mathematics
- Beijing Normal-Hong Kong Baptist University (BNBU)
- Binghamton University
- Brookhaven Lab
- Brookhaven National Laboratory
- Brown University
- California State University
- California State University, Fullerton
- Cardiff University
- Case Western Reserve University
- Centro de Investigación en Matemáticas
- Chalmers University of Technology
- Chalmers tekniska högskola
- DTU Electro
- Dartmouth College
- Delft University of Technology
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- Duke University
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- FCiências.ID
- FLINDERS UNIVERSITY
- Fermilab
- Flinders University
- Florida State University
- Fraunhofer-Gesellschaft
- Fred Hutchinson Cancer Center
- French National Research Institute for Sustainable Development
- Friedrich Schiller University Jena
- Fundação Universidade Federal do ABC
- 90 more »
- « less
-
Field
-
experience in one or more of: large-scale data analysis, time-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department
-
to address more novel problems. Keywords include: automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, inverse
-
Bayes factor hypothesis tests in factorial designs. What are you going to do The envisioned projects will focus on the following activities related to Bayesian inference in factorial designs: Construction
-
University of Massachusetts Medical School | Worcester, Massachusetts | United States | 40 minutes ago
modeling, or machine learning - Experience with large-scale genomic data analysis (e.g., GWAS, QTL, PRS, or multi-omics integration) Strong programming skills in R or Python; familiarity with Bayesian
-
sources, including developing a Bayesian Hierarchical Modeling framework; (2) using integrative modeling approaches to characterize heterogeneous protein assemblies structures and dynamics; (3) developing
-
EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
between process parameters and material properties will be developed and subsequently exposed to Bayesian optimization to find the optimal set of parameters that improve process performance and material
-
. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models for long-term forecasting. Collaborate closely with
-
learning, evidence synthesis in public health and statistical genetics and genomics. We are recognised for our strength in Bayesian inference applied to biomedicine and public health. The MRC Biostatistics
-
cognitive experiments Expertise in both frequentist and Bayesian statistics performing descriptive and multivariate statistical analysis techniques such as SEM using SPSS and/or R language. Excellent ICT
-
uncertainty from climate projections into land-use forecasts. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models