Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Chalmers University of Technology
- FAPESP - São Paulo Research Foundation
- Indiana University
- SUNY University at Buffalo
- Brookhaven National Laboratory
- CNRS
- Cornell University
- Delft University of Technology (TU Delft)
- European Space Agency
- INSERM
- Inria, the French national research institute for the digital sciences
- KU LEUVEN
- King Abdullah University of Science and Technology
- Missouri University of Science and Technology
- New York University
- Northeastern University
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Rutgers University
- Sandia National Laboratories
- Umeå University
- Universidad Complutense de Madrid
- University of Florida
- University of Idaho
- University of Maryland Baltimore County
- University of Minnesota
- University of Turku
- University of Washington
- Université de Bordeaux / University of Bordeaux
- 18 more »
- « less
-
Field
-
Analysis Plans. •Experience with missing data methods and causal inference. •Experience with Bayesian methods and machine learning approaches. •Experience with REDCap and clinical research databases
-
, including active learning or Bayesian optimization. Experience with imaging, time-series or high-dimensional data. Exposure to crystallography or structural biology. Experience with multimodal datasets and
-
to have experience in several of the following areas: data processing, statistical analyses, R software, regression models, process-based models such as DSSAT or APSIM, Bayesian statistical analysis
-
editorial oversight. Familiarity with the concepts of Bayesian benchmark dose (BMD) modeling Special Instructions to Applicants: For full consideration, applications for job number 540019 should be both
-
-changing careers. Learn more about Sandia at: https://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: We are seeking motivated postdoctoral candidates to advance
-
partners; - analyze the behavioral traces and verbal data using suitable methods (regression, clustering analysis, Bayesian models); - contribute to the identification of relations between mediation
-
simulations, density functional theory (DFT), molecular simulations, or machine-learning potentials. Experience with generative AI, active learning, uncertainty quantification, Bayesian optimization
-
, Uncertainty quantification, Approximation Theory, Applied Probability and Bayesian statistics, Optimal Control and Dynamic Programming. Appointment, salary, and benefits. The appointment period is two years
-
, Bayesian optimization, or reinforcement learning. Experience with high-performance computing (HPC). Experience supervising students or junior researchers. What you will do As a postdoctoral researcher, you
-
. Proficiency in Python, MATLAB, or R. Strong quantitative and analytic skills. Preferred Qualifications Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models). Experience with