Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- KINGS COLLEGE LONDON
- University of Washington
- Empa
- Heriot Watt University
- King Abdullah University of Science and Technology
- Purdue University
- UNIVERSITY OF HELSINKI
- University of London
- ASNR
- Aarhus University
- Argonne
- Arizona State University
- Aston University
- Brookhaven Lab
- Brookhaven National Laboratory
- CEA
- Centro de Investigación en Matemáticas
- City University London
- Columbia University
- Dartmouth College
- Duke University
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Embry-Riddle Aeronautical University
- French National Research Institute for Sustainable Development
- Friedrich Schiller University Jena
- Fritz Haber Institute of the Max Planck Society, Berlin
- Georgetown University
- Japan Agency for Marine-Earth Science and Technology
- Johns Hopkins University
- KTH Royal Institute of Technology
- King's College London
- King's College London;
- Massachusetts Institute of Technology
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- National Aeronautics and Space Administration (NASA)
- Nature Careers
- Oak Ridge National Laboratory
- Rutgers University
- Stony Brook University
- Technical University of Denmark
- The Ohio State University
- UNIVERSITY OF VIENNA
- University of Adelaide
- University of Central Florida
- University of Colorado
- University of Florida
- University of Idaho
- University of Maine
- University of Minnesota
- University of Oxford
- University of Sydney
- University of Virginia
- Université de Caen Normandie
- Virginia Tech
- 46 more »
- « less
-
Field
-
) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience of using Bayesian methods in both model development and fitting. Previous experience and
-
on hierarchical Bayesian models that allow us to integrate heterogeneous, but complementary, ecological and environmental data. Depending on the background and interest of the candidate, the work will focus on a
-
are seeking a postdoctoral researcher to develop methods for analyzing large scale biodiversity and ecosystem function data. Our approach is based on hierarchical Bayesian models that allow us to integrate
-
in modern scientific computing -Excellent communication and collaboration skills Preferred -Experience with simulation-based inference and Bayesian methods -Familiarity with cosmological simulations
-
. Prior exposure to experimental data from photon-counting or time-resolved detectors. Experience with Bayesian methods, uncertainty quantification, or real-time data processing. Familiarity with
-
Eligibility criteria - **Microfabrication:** Proficiency in microlithography (optical and electronic), etching, evaporation, oxidation - **Electronics:** Fabrication of filters, wiring, amplifier circuits, low
-
projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
-
Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 5 hours ago
for the rational design of novel catalytic materials. The Spectro-Microscopy group operates an ultra-high vacuum (UHV) based aberrations corrected and energy filtered Low Energy and Photoemission Electron Microscopy
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
quantification, Bayesian statistics, and multivariate optimization; must have excellent writing and communication skills. Prior space systems engineering and V&V experience, including planning and execution
-
individual rates of ageing. Role You will extend BrainAGE from global estimates to regional normative models using Bayesian regression and GAMLSS to derive age- and region-specific reference distributions