Sort by
Refine Your Search
-
Listed
-
Country
- United States
- France
- Germany
- United Kingdom
- Singapore
- Italy
- Sweden
- Canada
- Spain
- Belgium
- Portugal
- Hong Kong
- Poland
- Australia
- Austria
- Netherlands
- China
- Czech
- Japan
- Denmark
- United Arab Emirates
- Worldwide
- Finland
- Cyprus
- Greece
- Ireland
- Lithuania
- New Zealand
- Croatia
- Malta
- Mexico
- Morocco
- Norway
- Saudi Arabia
- Slovenia
- Switzerland
- Andorra
- Armenia
- Bangladesh
- Bulgaria
- Estonia
- India
- Luxembourg
- Romania
- Slovakia
- South Africa
- Uzbekistan
- 37 more »
- « less
-
Field
- Medical Sciences
- Computer Science
- Economics
- Engineering
- Business
- Biology
- Materials Science
- Mathematics
- Education
- Science
- Chemistry
- Arts and Literature
- Philosophy
- Psychology
- Social Sciences
- Electrical Engineering
- Law
- Humanities
- Environment
- Sports and Recreation
- Design
- Earth Sciences
- Linguistics
- Physics
- 14 more »
- « less
-
picking performance (e.g., cycle time, pose uncertainty, etc.). ? Collect data from various 3D imaging systems. ? Design and develop 3D printed artifacts and optimize 3D printer parameters for improved
-
modernization. Key Responsibilities Lead design and delivery of enterprise-grade data pipelines (ETL/ELT) using SQL/Python, supporting high-volume, high-complexity healthcare data. Build and optimize a modern
-
techniques optimized for accuracy, robustness, and low computational requirements to support real-time deployment. In addition to the sensing and data processing components, the project also addresses
-
.) must contribute to the effort to reduce GHG emissions. Clouds, despite their ability to optimize processes in other sectors (transport, energy, agriculture), are no exception to this observation
-
optimize patient care. The project will be carried out through plenary and small-group meetings held via Zoom. Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional Information
-
mission to help every student achieve optimal health in the pursuit of personal and academic success. Guided by the Director of the SHCC, you'll operate with independence while collaborating closely with a
-
place at the Fields Institute from July 1 - December 31, 2026. More information on the program will be posted here as it becomes available: https://www.fields.utoronto.ca/activities/26-27/optimal
-
? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research focuses on the study and optimization of the Laser Powder Bed Fusion
-
and image analysis within the project, responsible for designing and iterating on machine learning architectures, managing training pipelines and datasets, and optimizing models for deployment across
-
‑generation photonic and analog electronic design automation (EDA). You will explore, develop, and validate AI‑assisted methodologies that accelerate the design, optimization, and verification of optical and