Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Argonne
- Aarhus University
- Carnegie Mellon University
- Leibniz
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- Princeton University
- UNIVERSITY OF VIENNA
- University of Luxembourg
- WIAS Berlin
- Bar Ilan University
- Brown University
- Chalmers University of Technology
- Chinese Academy of Sciences
- Duke University
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- IFP Energies nouvelles (IFPEN)
- Illinois Institute of Technology
- King Abdullah University of Science and Technology
- Los Alamos National Laboratory
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- NEW YORK UNIVERSITY ABU DHABI
- New York University
- New York University in Abu Dhabi
- New York University of Abu Dhabi
- Pennsylvania State University
- Purdue University
- Technical University of Munich
- Tsinghua University
- UNIVERSITY OF HELSINKI
- University College Cork
- University of Essex;
- University of Greifswald
- University of Massachusetts Medical School
- University of Miami
- University of Minnesota
- University of Nevada, Reno
- University of Oslo
- University of Oxford
- University of Southern California
- University of Texas at Arlington
- University of Vienna
- Westlake University
- 34 more »
- « less
-
Field
-
Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 2 months ago
of multiple timescales. Collectively induced stochastic resonance phenomena on molecular ensembles in optical cavities. Cavity-induced off-equilibrium consequences on chemical reaction rates Develop (ab-initio
-
— which is a fundamental Partial Differential Equation (PDE) that captures the time evolution of probability distributions in systems driven by stochastic processes with Brownian motion. It plays a crucial
-
fundamental mechanisms of gene regulation, and transcriptional circuits including gene-regulatory networks, feedback regulation, and regulation of stochastic expression noise in multiple model systems ranging
-
mathematical models to analyze and optimize waste flows. Optimization Techniques: Familiarity with advanced optimization techniques, including linear, non-linear, multi-objective, or stochastic optimization
-
methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
-
architectures and training algorithms, uncertainty quantification, high-dimensional stochastic systems and high-dimensional partial differential equation systems. Multiple positions available. About the T-5 Group
-
differential equations, computational fluid dynamics, material science, dynamical systems, numerical analysis, stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
-
epidemiology to understand RNA metabolism. Perform stochastic simulations to analyze model behaviors. Fit the model parameters to empirical RNA expression and RNA-protein binding data. Predict outcomes
-
of deterministic and stochastic dynamical systems, optimal control, network models, and machine learning. Preference will be given to candidates with experience in these areas. The researcher will work closely with
-
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