Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- Germany
- France
- Norway
- Portugal
- Singapore
- Belgium
- Spain
- Netherlands
- Denmark
- China
- Italy
- Australia
- Canada
- Luxembourg
- United Arab Emirates
- Hong Kong
- Switzerland
- Austria
- Poland
- Czech
- Finland
- Morocco
- Ireland
- Cyprus
- Japan
- Brazil
- Latvia
- India
- Saudi Arabia
- Lithuania
- Bulgaria
- Estonia
- Greece
- Taiwan
- Andorra
- Israel
- Romania
- Slovenia
- South Africa
- Armenia
- Barbados
- Europe
- Iceland
- Malta
- Mexico
- New Zealand
- Slovakia
- Vietnam
- 41 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Education
- Mathematics
- Psychology
- Materials Science
- Arts and Literature
- Social Sciences
- Humanities
- Chemistry
- Linguistics
- Earth Sciences
- Environment
- Law
- Electrical Engineering
- Sports and Recreation
- Physics
- Philosophy
- Design
- 14 more »
- « less
-
to improve the early detection of pancreatic tumors and improve patient management. Different machine-learning approaches will be compared, and models validated on data prospectively collected. The position
-
machine learning approaches Collaborating with experimental and clinical research partners Support and preparation of scientific reports and journal articles
-
approaches Applying statistical modeling, causal inference, and machine learning approaches to identify determinants of developmental robustness Applying causal inference approaches to identify critical
-
Deployment Strategies - Model Compression: Investigate techniques such as quantization, pruning, and knowledge distillation to reduce the computational and memory footprint of deep learning models without
-
remain poorly understood. Their structural heterogeneity and chemical complexity make accurate atomistic modeling particularly challenging. Recent advances in machine learning approaches provide a powerful
-
. Scientific and Technical Competencies: • Strong background in machine learning, deep learning, and time-series modelling, with engineering applications. • Experience in prognostic modelling (e.g., RUL
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
methodology, machine learning, and biomedical data science. Our research develops rigorous and interpretable methods for high-dimensional biomedical data, with applications spanning cancer genomics
-
on correlation-based machine learning. When an agricultural system fails due to compounding climate extremes - like a simultaneous heatwave, drought, and ozone pollution spike - standard models can forecast the
-
The Chiu Lab (https://chiu-lab.org/ ) focuses on developing state-of-the-art multimodal AI models for cancer research. Our recent publications have been recognized by both the cancer research and
-
Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 27 days ago
independently; and ability to work as part of a tightly-knit team. PREFERRED: Experience with theoretical analysis, using and building machine learning models, and developing circuit models. 3/16/2026