Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- United Kingdom
- Portugal
- Sweden
- Spain
- Norway
- Singapore
- Italy
- Netherlands
- Denmark
- Poland
- United Arab Emirates
- Belgium
- Australia
- Luxembourg
- Romania
- China
- Ireland
- Canada
- Hong Kong
- Estonia
- Austria
- Czech
- Finland
- Japan
- Worldwide
- Bulgaria
- Malta
- Greece
- India
- Morocco
- Switzerland
- Andorra
- Brazil
- Croatia
- Cyprus
- Saudi Arabia
- Slovakia
- Armenia
- Europe
- Israel
- Mexico
- New Zealand
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Mathematics
- Economics
- Science
- Electrical Engineering
- Materials Science
- Earth Sciences
- Chemistry
- Business
- Linguistics
- Humanities
- Social Sciences
- Physics
- Psychology
- Arts and Literature
- Environment
- Philosophy
- Education
- Design
- Law
- Sports and Recreation
- 14 more »
- « less
-
-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing
-
components and control algorithms for the printing process that take into account our theoretical understanding of the processes occurring and utilizing high-speed in situ data acquisition to respond
-
types. Your algorithms will first be evaluated through simulation using real operational datasets, and later deployed and tested at two physical facilities: a kW scale testbed at TU Delft’s Green Village
-
architecture combining AI accelerators and Genera-Purposes CPUs. Investigate optimization algorithms for customizing the hardware architecture for AI applications Implementation and evaluation as part of a use
-
. Cleaning, structuring, and annotating the data needed to train and validate AI models. Development of AI modules and alert systems: Development and integration of algorithms for analysis, anomaly detection
-
processing capability; 3. Implementation of pre-processing, anomaly detection, and self-calibration algorithms; 4. Integration with IoT communication systems selected in Task 3.2; 5. Laboratory and relevant
-
formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
-
, Italy), https://phd.unibo.it/etit/en Supervisors: Prof. Anna Guerra, Dr. Francesco Guidi Project Context: The selected candidate will join the ERC Starting Grant project “CUE GO – Contextual Radio Cues
-
an interdisciplinary and international environment. Candidates should send their applications by April 30th through https://cv.newton-6g.eu/ Incorporations will begin in May 2026. DC1: Data-driven models for CF networks
-
processing and advanced algorithms, identifying predictors of adverse outcomes, using biosignals to improve physiologic understanding and leveraging these insights to improve patient care and reduce false