Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- Aalborg University
- ETH Zürich
- French National Research Institute for Sustainable Development
- Friedrich Schiller University Jena
- Georgetown University
- Japan Agency for Marine-Earth Science and Technology
- Johns Hopkins University
- King Abdullah University of Science and Technology
- Massachusetts Institute of Technology
- Oak Ridge National Laboratory
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); yesterday published
- University of California Davis
- University of Colorado
- University of Idaho
- University of Luxembourg
- 7 more »
- « less
-
Field
-
, such as Bayesian approaches and fossilized birth–death models, to reconstruct robust phylogenies and estimate divergence times. It also investigates macroevolutionary dynamics, including variation in
-
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
-
on the following activities related to Bayesian inference in factorial designs: Construction and elicitation of informed prior distributions; Critical assessment of default prior distributions; Organizing a many
-
territories. The pedigrees reconstructed in each populations are sufficient to estimate some simple quantitative genetic parameters, but they are incomplete and contain errors, which greatly limits
-
/ Postdoctoral Scholar-Paid Direct -Fiscal Year. A reasonable estimate for this position is $69,073-79,881. Percent time: Full-time (100%) Anticipated start: As soon as October 1, 2026 but no later than January 1
-
, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
-
factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently
-
Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
. The work will apply state-of-the-art three-dimensional atmospheric chemistry and circulation models, together with advanced statistical techniques (optimal Bayesian, Markov Chain-MonteCarlo, etc.) to solve
-
, clustering analyses, propagating location and other uncertainties...) of mid-ocean ridge catalogs, using standard, Bayesian and machine learning techniques. ⁃ Implement methodologies that improve estimates
-
has a strong background in control engineering, with documented expertise in optimal control, adaptive control and online optimization, stochastic systems, Bayesian inference, and state estimation and