Sort by
Refine Your Search
-
Listed
-
Country
- United States
- France
- Germany
- Singapore
- Italy
- United Kingdom
- Sweden
- Canada
- Spain
- Belgium
- Portugal
- Hong Kong
- China
- Australia
- Denmark
- Netherlands
- Austria
- Poland
- Japan
- Czech
- United Arab Emirates
- Worldwide
- Greece
- Finland
- Lithuania
- Switzerland
- Croatia
- Cyprus
- Ireland
- Norway
- Bulgaria
- Estonia
- Luxembourg
- Malta
- Mexico
- Morocco
- New Zealand
- Romania
- Saudi Arabia
- Andorra
- Armenia
- Bangladesh
- India
- Slovenia
- Uzbekistan
- 35 more »
- « less
-
Field
- Medical Sciences
- Computer Science
- Economics
- Engineering
- Business
- Biology
- Materials Science
- Mathematics
- Education
- Science
- Chemistry
- Arts and Literature
- Psychology
- Social Sciences
- Law
- Philosophy
- Humanities
- Electrical Engineering
- Environment
- Sports and Recreation
- Design
- Linguistics
- Earth Sciences
- Physics
- 14 more »
- « less
-
will work under the direction of Prof. Abhishek Halder and will conduct interdisciplinary research in the areas of stochastic control, optimal mass transport, and the Schrödinger bridge. They will pursue
-
. Duties include: Organize and run the N-STORM super-resolution system and the A1 confocal system; teach the PBS neuroscience community for super-resolution and confocal microscopy use; optimize
-
mass spectrometry analyses, including experimental design, data acquisition, and data interpretation. This role involves developing and optimizing methodologies, assisting users from diverse research
-
for Artificial Intelligence. The position aims to strengthen methodological and algorithmic work on one or more of the following axes: Optimization and learning on very large models and datasets, improving
-
) developing and optimizing fMRI pulse sequences; 3) developing and applying computational methods and machine learning approaches to characterize individual differences in brain representations; 4) contributing
-
others. The candidate will develop the complete model pipeline (training, optimization, embedding, benchmarking) on resource-constrained systems. Furthermore, she/he will also address the mechanical and
-
the Previzo project, whose objective is to develop an artificial intelligence based decision support tool to optimize water resource management, in particular by anticipating water related crises and conflicts
-
for Interference-Based Brain Stimulation. The DC will develop the theoretical foundations and system designs for a self-optimizing and self-healing implanted communication network enabling transcalvarial networked
-
non-canonical amino acids with new functional side chains into proteins. These methods will be optimized to allow economical production of proteins built using an expanded genetic code. We will
-
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