Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- Sweden
- France
- Germany
- Spain
- Italy
- Singapore
- Portugal
- Belgium
- Poland
- United Arab Emirates
- Denmark
- Netherlands
- Australia
- Worldwide
- Canada
- Hong Kong
- Romania
- Greece
- Ireland
- Malta
- Andorra
- Austria
- China
- Japan
- Lithuania
- Armenia
- Europe
- Finland
- India
- New Zealand
- Switzerland
- 23 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Mathematics
- Science
- Chemistry
- Electrical Engineering
- Materials Science
- Business
- Humanities
- Linguistics
- Physics
- Psychology
- Law
- Philosophy
- Social Sciences
- Arts and Literature
- Earth Sciences
- Education
- Environment
- Sports and Recreation
- 13 more »
- « less
-
) processes and develops methods and algorithms to achieve a fundamental understanding of high-dimensional data and processes in the bioeconomy in particular. Bioinformatics at Forschungszentrum Jülich plays a
-
reproducible research practices. Your responsibilities Develop and implement computer vision and image processing algorithms for star tracking and satellite detec-tion using event cameras. Design and build a
-
of pathogenic bacteria, viruses, fungi and eukaryotic parasites. Research topics include structural analysis of virus entry, viral evolution, viral oncogenes, intracellular bacterial pathogens, microorganisms
-
-world mechanical and electromechanical systems. A successful candidate is expected to demonstrate the deep expertise required to develop and apply AI algorithms that interact directly with physical
-
: The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance
-
on campus. DCS teaches students to design, build, and analyze digital & computational tools and algorithms, while also developing the ability to critique those same tools and algorithms. Bates DCS faculty
-
, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
-
numerical models to improve the simulation of complex multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid
-
Code 9791AO Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Job description: 50%: Lead and conduct research in the development and application of algorithms
-
of the recruitment and description of the project] * Background of the recruitment and description of the project Artificial Intelligence is a field that focuses on the development, evaluation, and application