Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Singapore
- Australia
- Germany
- Austria
- France
- Spain
- Netherlands
- Norway
- Sweden
- Portugal
- Belgium
- Denmark
- United Arab Emirates
- Canada
- China
- Czech
- Italy
- Switzerland
- India
- Ireland
- Poland
- Hong Kong
- Luxembourg
- Finland
- New Zealand
- Romania
- Lithuania
- Saudi Arabia
- Cyprus
- Japan
- South Africa
- Taiwan
- Andorra
- Armenia
- Barbados
- Brazil
- Croatia
- Estonia
- Europe
- Fiji
- Kyrgyzstan
- Latvia
- Morocco
- Slovenia
- Vietnam
- Worldwide
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Business
- Science
- Biology
- Education
- Mathematics
- Arts and Literature
- Materials Science
- Law
- Humanities
- Social Sciences
- Chemistry
- Linguistics
- Environment
- Psychology
- Earth Sciences
- Philosophy
- Sports and Recreation
- Electrical Engineering
- Design
- Physics
- 14 more »
- « less
-
. ●Deep knowledge of political science, public policy, and/or Arizona history. ●Knowledge of preservation and conservation standards for archival materials. ●Demonstrated effective interpersonal and
-
include the development of finite elements methods, as well as inverse design strategies based on deep-learning and Neural Networks approaches. The latter will then bring the project to the experimental
-
future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
-
Description The Deep Learning laboratory in the Division of Science, New York University Abu Dhabi, seeks to recruit a Junior Research Scientist to work on Deep Reinforcement Learning (DRL
-
, and executive education programs. The College is a center of excellence for research on issues that span people, policy, and technology, and has deep strengths in combining data science with social
-
Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
-
Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
-
scientific curiosity. You thrive at the boundary of robot learning, computer vision, deep learning, and simulation, and you are excited to see your research running on real robots. You communicate clearly
-
We are looking for a part-time lecturer to teach this undergraduate course at the Wee Kim Wee School of Communication and Information. The course will examine how politics, ideology, international
-
, or related field. Strong programming skills and experience with deep learning models, particularly Large Language Models. Evidence of producing high-quality research outputs. Experience contributing to and