Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Netherlands
- France
- Singapore
- Portugal
- Germany
- Australia
- Denmark
- Sweden
- Belgium
- Spain
- Norway
- United Arab Emirates
- Italy
- Canada
- Ireland
- Luxembourg
- Switzerland
- China
- Czech
- Austria
- Hong Kong
- Finland
- New Zealand
- Romania
- Morocco
- Brazil
- Estonia
- Japan
- Kyrgyzstan
- Poland
- Saudi Arabia
- India
- Malta
- Bulgaria
- Croatia
- Greece
- Kenya
- Lithuania
- South Africa
- 31 more »
- « less
-
Program
-
Field
- Medical Sciences
- Computer Science
- Economics
- Engineering
- Science
- Biology
- Business
- Arts and Literature
- Education
- Materials Science
- Social Sciences
- Psychology
- Mathematics
- Chemistry
- Humanities
- Environment
- Law
- Philosophy
- Sports and Recreation
- Linguistics
- Electrical Engineering
- Earth Sciences
- Design
- Physics
- 14 more »
- « less
-
robust, hypothesis driven research program focused at the molecular, cell biological, or organismal level demonstrated through a strong publication record. We are particularly interested in individuals
-
collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and
-
University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 17 hours ago
. The successful candidates would join a thriving multidisciplinary medical oncology and hematology practice and be able to leverage world class scientific collaborations and robust infrastructure for investigator
-
, statistics or related fields and must have a robust research program and strong potential to secure extramural funding. The successful candidate will have an opportunity to expand and strengthen the research
-
operational deployment; and translating these datasets into robust, defensible environmental benchmarks against conventional cooling approaches. As the successful candidate you will also contribute directly to
-
learning methods and statistical analysis, to effectively exploit data collected from sensors and acquisition systems. Particular attention is devoted to algorithm robustness, uncertainty management, and
-
collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is
-
on structural materials. Our laboratory also maintains the nation’s energy scale for dynamic impact (Charpy) testing, collaborating with colleagues around the world to maintain robust and relevant impact test
-
hardware constraints, improve system control, and unlock new modes of problem-solving that surpass classical approaches. The ML-QSIM project is built upon a robust multi-node and multi-regional structure
-
-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing