Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- United Kingdom
- Sweden
- Portugal
- Spain
- Norway
- Singapore
- Italy
- Netherlands
- United Arab Emirates
- Denmark
- Belgium
- Poland
- Australia
- Luxembourg
- Romania
- China
- Canada
- Hong Kong
- Ireland
- Estonia
- Japan
- Finland
- Austria
- Czech
- Worldwide
- Greece
- Morocco
- Switzerland
- Andorra
- Brazil
- Bulgaria
- Croatia
- Cyprus
- India
- Malta
- Saudi Arabia
- Slovakia
- Armenia
- Europe
- Israel
- Mexico
- New Zealand
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Mathematics
- Economics
- Science
- Electrical Engineering
- Materials Science
- Chemistry
- Earth Sciences
- Linguistics
- Business
- Humanities
- Physics
- Psychology
- Social Sciences
- Arts and Literature
- Environment
- Philosophy
- Education
- Design
- Law
- Sports and Recreation
- 14 more »
- « less
-
Engineers. Serve as liaison with Princeton Research Computing staff on GPU cluster related issues. Professional Development Learn the underlying science, mathematics, statistics, data analysis, and algorithms
-
of Mathematics and Computer Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry, Topology and Algebra Learning Experience Design Our
-
R. · Programming of automated species identification algorithms. · Creation of a database of photos and videos with species identification. · Identification of bird species by listening to bird song
-
to teach graduate and undergraduate courses related to programming languages (Java/C/C++), data structures and algorithms, operating systems, databases, security, visualization, AI/ML, human-computer
-
++, Python, and JavaScript languages, multi- and many-core SoC, RISC-V, hardware synthesis, hardware-software co-design, (meta-heuristic) optimization algorithms, machine learning frameworks, (bonus topics
-
biomarker data. Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease. Implement machine learning models to improve
-
the JAX Python library, including efficient implementations of classical numerical algorithms. 2. Extend the hybrid FEA-ML framework to include nonlinear cohesive zone models with simple traction separation
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
technologies to scientific research study and experiment design, big data mining and processing, algorithm development, and complex computational analysis. They have expertise in the ethical issues of using AI
-
models. Knowledge base of multivariable and vector calculus, as well as geometric algebra. Familiarity with machine learning and algorithms. Knowledge and proficiency with protein Large Language Models
-
interfaces, application databases, algorithms, etc. Assist with design reviews. Work with quality control teams to optimize testing techniques. Provide technical guidance and mentoring to program teams. Track