Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- France
- Germany
- United Arab Emirates
- Norway
- Netherlands
- Canada
- Belgium
- Finland
- Spain
- China
- Denmark
- Poland
- Morocco
- Switzerland
- Vietnam
- Hong Kong
- Ireland
- Australia
- Japan
- Portugal
- Saudi Arabia
- Luxembourg
- Singapore
- Taiwan
- Austria
- Czech
- Italy
- Greece
- Lithuania
- Andorra
- Brazil
- Cyprus
- Kyrgyzstan
- Romania
- Russia
- Slovenia
- South Africa
- Hungary
- India
- New Zealand
- 33 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Mathematics
- Chemistry
- Psychology
- Earth Sciences
- Education
- Environment
- Physics
- Materials Science
- Social Sciences
- Humanities
- Business
- Electrical Engineering
- Law
- Arts and Literature
- Linguistics
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology Machine Learning, AI Safety, AI Alignment, Eval of LLMs, Multi-agent Safety
-
and digitizing archival data, strong knowledge of causal inference methods, good command of R and Python. Knowledge of machine learning methods is an asset. Strong command of English; command of either
-
. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning, or computational biology to apply for our postdoctoral fellows program. Located in
-
these autonomy and self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed
-
-theory-based and recently proposed Moiré Plane Wave Expansion approaches. A significant part of the project is focusing on the development of novel machine learning protocols and workflows based on a large
-
, France [map ] Subject Areas: Statistics Machine Learning / Machine Learning Mathematics Statistical Physics Probability Appl Deadline: 2025/12/20 11:59PM (posted 2025/11/25, listed until 2026/05/25
-
understanding of how acoustic waves are generated and transmitted in wells. The LeDAS project aims to overcome these challenges by combining physical modelling, advanced signal processing, and machine learning in
-
. Demonstrated high level of achievement in related research productivity and academic writing. Technical skills in computer programming, algorithm development and deep learning model implementation, and practical
-
Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. The ideal candidate will have a