Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Germany
- Italy
- Sweden
- Spain
- Belgium
- Australia
- Netherlands
- Portugal
- Singapore
- Canada
- Finland
- China
- Hong Kong
- Ireland
- Luxembourg
- Poland
- Andorra
- Denmark
- Japan
- Macau
- Malta
- Switzerland
- Austria
- Barbados
- Czech
- Estonia
- Lithuania
- Morocco
- Norway
- Romania
- Saudi Arabia
- United Arab Emirates
- 25 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Business
- Materials Science
- Mathematics
- Environment
- Chemistry
- Earth Sciences
- Law
- Linguistics
- Psychology
- Sports and Recreation
- Arts and Literature
- Humanities
- Physics
- Education
- Electrical Engineering
- Social Sciences
- 12 more »
- « less
-
. 3. Machine Learning and Predictive Analytics: • Develop and apply machine learning models (including Azure Machine Learning) to optimize healthcare data analysis accuracy. • Collaborate with data
-
to study chromatin and gene regulation in mammalian cells and human disease systems. Current ongoing projects include: statistical modeling and advanced machine learning/AI method development for predicting
-
modeling, machine learning, or data-driven prediction methods applied to environmental datasets. Experience building and maintaining large, frequently updated archives of weather or climate observations
-
tools, such as physics-informed climate and weather predictive models, and trustworthy datasets for training and analysis. Its work aims to improve prediction capabilities and understanding of climate
-
. The project combines interval timing and error monitoring in a novel behavioral task adapted to human and rat models. The leading hypothesis is a read-out model, which assumes that a Timer and a Reader are
-
, regulatory, or multimodal biological data. Support target and mechanism prioritization by integrating model predictions with biological knowledge and external data sources. Work closely with academic partner
-
bioinformatics for immunology research programs. You'll work at the cutting edge of AI-enhanced immunology, applying deep learning, foundation models, and advanced machine learning approaches to understand how
-
workers, as required or needed in the completion of daily tasks in support of the assigned area's/department's overall goals and objectives. Uses analytics, predictive modeling, and market research
-
NAME_FAMILY NAME) : https://nextcloud.univ-lille.fr/index.php/s/ezJxfSBwTjkJCnt Key words: solidification, recycled aluminum alloys, induction heating, thermal simulations, 3D modelling, mechanical testing
-
, regulatory, or multimodal biological data. Support target and mechanism prioritization by integrating model predictions with biological knowledge and external data sources. Work closely with academic partner