Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- Portugal
- France
- Netherlands
- Norway
- Spain
- Denmark
- Canada
- Austria
- Australia
- Singapore
- Belgium
- Italy
- Poland
- China
- United Arab Emirates
- Finland
- Switzerland
- Czech
- India
- Morocco
- Luxembourg
- Ireland
- Japan
- Hong Kong
- Romania
- Estonia
- Brazil
- Macau
- New Zealand
- Greece
- South Africa
- Cyprus
- Latvia
- Lithuania
- Slovakia
- Andorra
- Bulgaria
- Croatia
- Iceland
- Mexico
- Worldwide
- Kyrgyzstan
- Vietnam
- Europe
- Malta
- Saudi Arabia
- Slovenia
- 41 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Biology
- Engineering
- Science
- Business
- Education
- Mathematics
- Psychology
- Materials Science
- Social Sciences
- Chemistry
- Arts and Literature
- Environment
- Law
- Humanities
- Linguistics
- Earth Sciences
- Sports and Recreation
- Electrical Engineering
- Philosophy
- Physics
- Design
- 14 more »
- « less
-
Transformers). Analysis of existing datasets. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python
-
in modelling, simulation, or data analysis of energy systems Knowledge of machine learning or artificial intelligence methods Programming experience (e.g., Python, MATLAB or similar tools) Experience
-
fasting modulate the immune response. The aim is to gain knowledge that could be applied to better understand and treat diseases such as obesity, chronic inflammation and infections To translate findings
-
the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position In this role your responsibility is
-
). Knowledge of complex network modelling, omics data analysis or computational simulation. Research FieldOther Internal Application form(s) needed Perfil. .pdf English (606.79 KB - PDF) Download Additional
-
and deployment settings. Apply and advance model compression techniques, including quantization, pruning, knowledge distillation, low-rank adaptation, and related methods. Conduct algorithm-hardware co
-
Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical
-
computing. This particular position focuses on time-series analysis and forecasting using transformer based foundation models. About the Project Time-series prediction using transformer based models is
-
, we believe science can achieve its fullest potential. THE ROLE During your internship you will work on a projectin the Computational mOdelling of NanosCalE and bioPhysical sysTems (https
-
, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific