Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Germany
- France
- Norway
- Portugal
- Singapore
- Netherlands
- Spain
- Belgium
- Denmark
- United Arab Emirates
- China
- Italy
- Australia
- Switzerland
- Canada
- Luxembourg
- Austria
- Hong Kong
- Finland
- Ireland
- Poland
- Czech
- Japan
- Romania
- Estonia
- Brazil
- Latvia
- Lithuania
- Morocco
- Cyprus
- India
- Saudi Arabia
- Greece
- South Africa
- Andorra
- Taiwan
- Slovenia
- Armenia
- Barbados
- Europe
- Iceland
- Israel
- Malta
- Mexico
- New Zealand
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Mathematics
- Psychology
- Education
- Materials Science
- Arts and Literature
- Chemistry
- Social Sciences
- Earth Sciences
- Humanities
- Linguistics
- Environment
- Law
- Sports and Recreation
- Electrical Engineering
- Physics
- Philosophy
- Design
- 14 more »
- « less
-
Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 11 days ago
conditions: Scientific area: Bachelor’s Degree in Systems Engineering. Work plan: Model-based digital twins supported by physics-informed machine learning for multiphysics modeling. 1. Grant duration and
-
; designing knowledge-graph-based data models for integrating diverse urban, forest, and market data; developing AI-based forecasting and scenario-simulation pipelines that combine machine learning and
-
workloads including embedding generation, LLM inference, and cognitive search. Develop Snowpark Python transformations, UDFs, and machine-learning features. Implement vectorized storage, model-serving
-
. The successful candidate will engage in innovative research addressing statistical methodology, machine learning, and/or learning techniques in complex biomedical and health-related challenges. We particularly
-
machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. What We Offer As an employer, we
-
support machine learning applications for analyzing electron microscopy images of nanoalloys. Model interactions between nanoalloys and carbon substrates to reflect experimental conditions, incorporating
-
for AI and Machine Learning included as well as industrial statistics), which will complement our current research portfolio (see https://stat.kaust.edu.sa) and have a research profile that can potentially
-
learning workflows, and perform data quality control across multiple datasets. The ideal candidate will implement data science analytical models and machine learning models following established
-
architectures for TTS and ASR Entrenamiento de modelos a gran escala utilizando frameworks modernos de deep learning / Training large-scale models using modern deep learning frameworks Publicaciones en
-
the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data