Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- CNRS
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Montana State University
- Nature Careers
- AMOLF
- ARCNL
- Academia Sinica
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Chalmers University of Technology
- European Space Agency
- Georgetown University
- Gran Sasso Science Institute
- Helmholtz Zentrum Hereon
- IMT Atlantique
- Lawrence Berkeley National Laboratory
- Lodz University of Technology
- MASARYK UNIVERSITY
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- National Renewable Energy Laboratory NREL
- National University of Singapore
- Purdue University
- Santa Clara University
- Stockholms universitet
- Technical University of Munich
- UiT The Arctic University of Norway
- University of Central Florida
- University of Colorado
- University of Copenhagen
- University of Idaho
- University of Minnesota
- University of Oregon
- Université de Bordeaux / University of Bordeaux
- 24 more »
- « less
-
Field
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a motivated postdoctoral researcher to join the AI
-
, knowledge and skills in using advanced statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing
-
. Experience with advanced statistical modeling (linear and/or non-linear) is preferred. Experience working in a medical environment is preferred. Note: This job description is intended to outline the general
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
the replicator equation. The candidate(s) may also be required to develop computational and algorithmic platforms to link models to biological data. The project integrates dynamical systems, graph theory, linear
-
explores the non-linear and dynamical nature of strong gravity and black holes in and beyond Albert Einstein’s theory of general relativity through gravitational observations. The collaboration brings
-
specializing in the following areas: Electronic Structure and Dynamics in Advanced Materials Objective: achieving atomic-precision control and characterization of materials to deepen the understanding
-
development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
-
linear algebra, numerical methods for PDEs and dynamical systems, stochastic methods in statistical mechanics, hydrodynamic limits, interacting many-body systems, quantum macroscopic evolution equations
-
The core of this research lies in the “science of science”—using large-scale data from scientific articles, patents, and grants to characterize the dynamics of research and innovation. A central
-
Inclusive excellence drives better science. We actively seek female and international researchers from all walks of life, valuing non-linear careers and diverse perspectives across cultures, disciplines, and