Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Argonne
- Chalmers University of Technology
- NEW YORK UNIVERSITY ABU DHABI
- CNRS
- Carnegie Mellon University
- Cornell University
- Linköping University
- New York University in Abu Dhabi
- Texas A&M University
- UNIVERSITY OF SYDNEY
- University of Miami
- University of Minnesota
- University of Texas at Arlington
- AALTO UNIVERSITY
- Aalto University
- Aarhus University
- Bar Ilan University
- Barcelona School of Economics
- Brookhaven National Laboratory
- Bucharest Universty of Economic Studies
- CY Cergy Paris University
- Center for Theoretical Physics PAS
- Chinese Academy of Sciences
- Duke University
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- Ecole Normale Supérieure
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- Fraunhofer-Gesellschaft
- Ghent University
- Gran Sasso Science Institute
- ICN2
- Illinois Institute of Technology
- Iowa State University
- King Abdullah University of Science and Technology
- Leibniz
- Los Alamos National Laboratory
- Mississippi State University
- National Renewable Energy Laboratory NREL
- New York University
- New York University of Abu Dhabi
- Northeastern University
- Princeton University
- Rice University
- Singapore-MIT Alliance for Research and Technology
- Technical University of Munich
- The University of Arizona
- UNIVERSITE ANGERS
- University College Dublin
- University of Amsterdam (UvA)
- University of Luxembourg
- University of Nevada, Reno
- University of New South Wales
- University of Sydney
- Vrije Universiteit Amsterdam (VU)
- 46 more »
- « less
-
Field
-
of complex socio-technical or organisational systems causal inference, econometric analysis, or formal decision modelling optimisation, stochastic modelling, or control-inspired analytical approaches strong
-
decision modelling optimisation, stochastic modelling, or control-inspired analytical approaches strong programming skills in Python and familiarity with modern computational toolchains a clear interest in
-
which research focuses mainly within the research programmes (1) Algebra, Geometry and Mathematical Physics, (2) Pure, Applied and Numerical Analysis, and (3) Stochastics and (4) Discrete Mathematics and
-
algorithms used in scientific computing, such as linear solvers, optimization methods, or stochastic sampling techniques (e.g., Markov Chain Monte Carlo). Experience developing or using advanced computational
-
. Experience with dynamic stochastic general equilibrium (DSGE) models, overlapping generations (OLG) models, and/or dynamic labour supply models. Strong skills in computational economics, including solution
-
at large scale. Primary Responsibilities Develop and implement novel mathematical optimization models (e.g., stochastic programming, robust optimization, mixed-integer linear programming) for medium-term
-
study examining common elements in decisions across different contexts (risk, uncertainty, time; gains, losses, and mixed domain choices). Applying Bayesian techniques to develop stochastic models
-
excellence, as evidenced by a strong publication record in one or more of the following areas: random matrix theory, stochastic processes, neural networks, machine learning, and sparse data structures
-
disease, systems biology (including the modeling of signaling pathways and biomolecular structure-function relationships), and stochastic modeling of disease processes such as progression, detection, and
-
research and teaching in applied analysis, computational mathematics, data science, discrete mathematics, financial mathematics, stochastics, and statistics. The Department of Applied Mathematics is the only