Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- France
- Norway
- Portugal
- Netherlands
- Singapore
- Spain
- Belgium
- Denmark
- China
- United Arab Emirates
- Italy
- Australia
- Canada
- Luxembourg
- Switzerland
- Austria
- Hong Kong
- Finland
- Ireland
- Czech
- Poland
- Japan
- Romania
- Estonia
- Lithuania
- Brazil
- Morocco
- Cyprus
- Saudi Arabia
- India
- South Africa
- Andorra
- Greece
- Latvia
- Taiwan
- Armenia
- Barbados
- Europe
- Iceland
- Israel
- Malta
- Mexico
- New Zealand
- Slovenia
- Worldwide
- 39 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Mathematics
- Psychology
- Education
- Materials Science
- Social Sciences
- Arts and Literature
- Chemistry
- Earth Sciences
- Linguistics
- Humanities
- Environment
- Sports and Recreation
- Electrical Engineering
- Law
- Physics
- Design
- Philosophy
- Statistics
- 15 more »
- « less
-
Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
-
, mathematics, computer science, engineering or a related discipline Required Other None Additional Preferred Experience working in one of the following areas: Machine learning/predictive modeling
-
assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
-
Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 1 hour ago
Job description:Postdoctoral Researcher (f/m/d) in Machine Learning and Surrogate Modeling for Geochemical Systems With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500
-
based on the new data generated, incorporating key variables identified in (i), and use statistical and machine learning methodologies to ensure high predictive accuracy and robustness; iii) validation
-
associate in the broad areas of high performance computing and machine learning. HighZ is focused on developing scalable high order methods, enhanced with surrogate models for subscale physics, for modeling
-
machine learning (ML) approaches offer a powerful framework for modeling complex catalytic materials with near ab initio accuracy while enabling simulations at significantly larger spatial and temporal
-
the project: Develop, train, and optimise deep learning models for wildlife species identification, classification, and segmentation using real-world datasets. Design and implement software modules to integrate
-
required. The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative- genomics/) at Institut Pasteur, led by Laura Cantini, works at
-
, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must