Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- United Kingdom
- Norway
- Sweden
- Germany
- Netherlands
- China
- United Arab Emirates
- Denmark
- Italy
- Singapore
- Spain
- Austria
- Belgium
- Finland
- Australia
- Romania
- Czech
- Portugal
- Saudi Arabia
- Switzerland
- Andorra
- Canada
- Japan
- Luxembourg
- Mexico
- Poland
- Sao Tome and Principe
- Slovenia
- Uzbekistan
- 21 more »
- « less
-
Program
-
Field
-
, computational mathematics, and stochastic processes. Completion of the Ph.D. is required prior to or shortly after the date of hire. The successful candidate will enhance our advanced undergraduate applied
-
possible including algebra, analysis, combinatorics, control theory, dynamical systems, geometry, numerical analysis, probability, statistics, stochastic analysis/control, partial differential equations, set
-
/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and
-
, manufacturing processes, optimization, simulation, and stochastic analysis. UF provides excellent opportunities for interdisciplinary collaboration across campus. More information about the Department can be
-
complexity theory. Language requirement: English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations
-
, manufacturing processes, optimization, simulation, and stochastic analysis. UF provides excellent opportunities for interdisciplinary collaboration across campus. More information about the Department can be
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
research in probability, statistics, stochastic processes, and optimization, and are also heavily involved with interdisciplinary areas of application such as genomics, biological modeling, environmental
-
Qualifications: Unity Certified Professional: Programmer; VR/AR development experience with the Unity game engine; Developing VR/AR training applications; and Stochastic optimization knowledge and implementation
-
processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large
-
filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application