Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Sweden
- Portugal
- Belgium
- Norway
- United Kingdom
- United Arab Emirates
- Austria
- Singapore
- Spain
- China
- Poland
- Switzerland
- Denmark
- Italy
- Netherlands
- Estonia
- Greece
- Hong Kong
- Japan
- Canada
- Finland
- Luxembourg
- Malta
- Mexico
- Saudi Arabia
- Andorra
- Armenia
- Brazil
- Cyprus
- Czech
- India
- Ireland
- Morocco
- Uzbekistan
- 27 more »
- « less
-
Program
-
Field
-
: Mathematics, Statistics, and Mathematics Education. The mathematics group includes both pure and applied mathematicians, with research areas ranging from mathematical biology, numerical PDEs, and optimization
-
, drives user adoption, to ensure sophistication in the identification, application, and exploitation of tools, methodologies, and creative processes to optimize communication, audience engagement, learning
-
focus on the development and analysis of continuous and discrete models in connection with convex and nonconvex optimization problems and monotone inclusion systems. Our ideal candidate already has
-
]. By combining simulations and experiments, comprehensive analysis of the process will be achieved and guidelines for optimization will be proposed. The analysis could then be extended to broader range
-
sputtering). A coupled approach, involving experiments and Multiphysics numerical simulation will be implemented. A thorough investigation of the relationships between deposition conditions (temperatures
-
described. From a technological perspective, optimizing radiative cavities is critical to improving the performance of TPV subsystems. Efficient cavity designs must maximize useful photon flux reaching
-
algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
-
group focus on the development and analysis of continuous and discrete models in connection with convex and nonconvex optimization problems and monotone inclusion systems. Our ideal candidate already has
-
solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/erapid-multiplexed-electrochemical-sensors-for-fast
-
transfer This research combines advanced numerical simulation and artificial intelligence to develop predictive models for high-temperature multiphase flows, with specific relevance to steel casting