Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- CNRS
- Technical University of Denmark
- Technical University of Munich
- Utrecht University
- ;
- BRGM
- Bielefeld University
- Centrale Supelec
- Chalmers University of Technology
- DAAD
- Ecole Centrale de Lyon
- Eindhoven University of Technology (TU/e)
- FCiências.ID
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- French National Research Institute for Agriculture, Food and Environment (INRAE)
- GFZ Helmholtz-Zentrum für Geoforschung
- INRIA
- Inria, the French national research institute for the digital sciences
- Linköping University
- Ludwig-Maximilians-Universität München •
- Maastricht University (UM)
- Nature Careers
- Newcastle University
- Radboud University
- Swedish University of Agricultural Sciences
- Technical University Of Denmark
- The University of Manchester
- UCL
- Umeå University
- University of Amsterdam (UvA)
- University of Bologna
- University of Surrey
- University of Texas at El Paso
- Uppsala universitet
- Vrije Universiteit Amsterdam (VU)
- 27 more »
- « less
-
Field
-
. mixed effects regression models and/or Bayesian statistics; e.g., brms / lme4 packages). Excellent written and spoken English. Desirables (traits that would give you an advantage) Training in evolutionary
-
French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 11 days ago
conferences. Supervision Dr Arthur Kocher (IHAP; MPI-EVA) is the PI of the EpidemioCene project . He studies human and animal disease ecology and evolution using molecular approaches combined with Bayesian
-
lattice orientation by EBSD or local chemical composition by EDX [1]. For instance, an original protocol based on Bayesian inference was recently co-developed by LEM3 and ICA to determine the single-crystal
-
Bayesian optimization and other active learning techniques to guide experimental efforts by identifying optimal chemical compositions and processing conditions of membranes that maximize both selectivity and
-
. They have led to a plethora of important downstream applications, such as image and material generation, scientific computing, and Bayesian inverse problems. At the core of these models are differential
-
embedded in the CCSS community. Nice to have Experience with viral genomics, phylogenetics, Bayesian or likelihood-based inference, infectious disease modeling, or high-performance computing. Additional
-
Experience with viral genomics, phylogenetics, Bayesian or likelihood-based inference, infectious disease modeling, or high-performance computing. Our offer a position for 18 months, with an extension to a
-
analyses is beneficial Expertise in machine learning and Bayesian statistics is beneficial What we offer: Work on a scientifically exciting, socially highly relevant, and globally visible ERC Synergy Grant
-
modelling: -Weighted PINNs, -Bayesian PINNs, -Stochastic PINNs, -Ensemble PINNs, -Domain-decomposition PINNs. Selected approaches will be tested within a dedicated data-assimilation framework
-
stimulated luminescence (OSL) dating of sediments and rocks, palaeoseismology, megaliths, Bayesian chronological modelling, archaeoseismicity, stable continental regions (SCR), Armorican Massif. Context and