Sort by
Refine Your Search
-
Listed
-
Country
- United States
- France
- United Kingdom
- Italy
- Sweden
- Germany
- Spain
- Poland
- Singapore
- Belgium
- Portugal
- Denmark
- Netherlands
- United Arab Emirates
- Worldwide
- Australia
- Austria
- Canada
- Malta
- China
- Hong Kong
- India
- Ireland
- Andorra
- Greece
- Japan
- Luxembourg
- Romania
- Armenia
- Bulgaria
- Cyprus
- Czech
- Europe
- Finland
- Mexico
- New Zealand
- Slovakia
- 27 more »
- « less
-
Field
-
-native wireless communications and networking, specifically developing context-aware multimodal Generative AI (GenAI) models, scalable mixture-of-experts (MoE) at the network edge, and multi-agent
-
. The QUBIC consortium will deliver disruptive innovations across three core quantum domains: Development of quantum algorithms to solve current industry-specific challenges. Advancement of quantum processors
-
university community. Key Responsibilities: Conduct comprehensive literature reviews to identify existing solutions and their limitations, and develop advanced NLP algorithms for multimodal data. Design and
-
. QLAB is a newly funded research center under the Foundation for Polish Science's International Research Agenda (MAB) programme, focused on developing scalable hybrid quantum-classical technologies
-
DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
applicant will contribute to the AIGLE project by: · Developing innovative scientific Deep Learning/Machine Learning algorithms for flash flood forecasting. · Contributing to the collection
-
algorithm development and system performance. Technical Focus Areas Computer Vision and Model Development: Design and train deep learning models for insect classification and morphological recognition
-
associate will work both independently and collaboratively to develop and apply novel deep learning algorithms and/or computational chemistry methods for small-molecule drug discovery targeting RNA
-
and clean datasets. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. Create databases and reports, develop algorithms and statistical models, and
-
at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
-
graduate to work full time on a 27-month Knowledge Transfer Partnership (KTP) to develop an advanced aftermarket sensor-led condition and monitoring solution upgrade for the EDM engineering processes