Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Canada
- Germany
- Netherlands
- Denmark
- Australia
- Sweden
- Singapore
- Belgium
- Norway
- Morocco
- Spain
- France
- Switzerland
- Saudi Arabia
- Portugal
- Luxembourg
- New Zealand
- United Arab Emirates
- Finland
- Austria
- China
- Algeria
- Deutschland
- Ireland
- Italy
- Poland
- Romania
- South Africa
- 20 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Business
- Biology
- Materials Science
- Mathematics
- Science
- Education
- Arts and Literature
- Chemistry
- Humanities
- Linguistics
- Psychology
- Electrical Engineering
- Sports and Recreation
- Environment
- Design
- Social Sciences
- Earth Sciences
- Law
- Philosophy
- Physics
- 14 more »
- « less
-
to the economic modelling and simulation of optimal fuel cell operation under different business models.. Collaborate in the laboratory testing and validation of control algorithms developed within the project
-
that process planning has a high potential for automated optimization. Building upon this, you will advance our optimization pipeline and evaluate different optimization algorithms/strategies. What you will do
-
The Department of Medical Imaging is one of the most active research departments of the Radboudumc. More than 100 researchers are continuously striving to optimize healthcare. Close cooperation
-
Materials, Bioinspired Materials and Sustainable Materials. Our research focuses on the microstructure optimization of nickel alloys for the improvement of hydrogen embrittlement resistance. TEM, XRD and EBSD
-
multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
-
Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is
-
on algorithmic and application research in the domain of AI and scientific simulations to drive SW-HW-Technology co-optimization and develop novel ML/Hybrid-AI methods for semiconductor processing and health
-
” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a
-
of the occurrence of rare events, as well as model simplifications and associated a posteriori error estimate. This will mainly rely on the construction of optimal control strategies associated to the large deviation
-
optimization. Another clinically important challenge is adapting predictive models for use across different hospitals. We are looking for a highly motivated individual with a strong interest in computational