Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- Inria, the French national research institute for the digital sciences
- KU LEUVEN
- Utrecht University
- Wageningen University & Research
- National Research Council Canada
- Technical University of Munich
- University of Amsterdam (UvA)
- Aalborg Universitet
- Aalborg University
- BI Norwegian Business School
- Harvard University
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Meteorology •
- Monash University
- Newcastle University
- Radix Trading LLC
- Universidade de Coimbra
- University of Basel
- University of Bergen
- University of Oslo
- University of Primorska
- Universität Siegen
- Vrije Universiteit Amsterdam (VU)
- ARCNL
- CNRS
- Curtin University
- Eindhoven University of Technology (TU/e)
- Fondazione Bruno Kessler
- Foundation for Research and Technology-Hellas
- Fraunhofer-Gesellschaft
- German Cancer Research Center (DKFZ) Heidelberg •
- Hannover Medical School •
- ICN2
- KNAW
- Karlsruhe Institute of Technology •
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Leiden University
- Leipzig University •
- Manchester Metropolitan University
- Newcastle University;
- Queensland University of Technology
- RPTU University Kaiserslautern-Landau •
- Saarland University •
- SciLifeLab
- TU Delft
- Technical University of Darmstadt •
- Technische Universität Berlin •
- Technische Universität München
- The University of Iowa
- University of Bamberg •
- University of Bedfordshire
- University of Birmingham
- University of Bremen •
- University of Copenhagen
- University of Groningen
- University of Plymouth
- University of Texas at Austin
- University of Texas at El Paso
- Vrije Universiteit Brussel
- 52 more »
- « less
-
Field
-
ingredients, a process that is traditionally slow because each substrate–strain combination behaves differently. By applying machine learning to historical experimental data, we can predict high‑potential
-
hands-on and system-oriented; a closed-loop, verifiable prototype will be built, tested under realistic degradations and examined for different metrics such as latency, reliability, fairness and SLA
-
-Computer Interaction (HCI) perspectives to investigate how AI companionship technologies may reshape experiences of care, companionship, emotional support, wellbeing, and autonomy among older adults. Your
-
: Design, implement and characterize innovative sensing systems based on different sensing principles such as ultrasonic, optical and chemical sensors. Investigate sensor behavior under varying environmental
-
stakeholders. Ability to manage in a scientific environment with in depth knowledge of the different models of research operations while enhancing a collaborative approach. Knowledge of the National Research
-
external stakeholders. Ability to manage in a scientific environment with in depth knowledge of the different models of research operations while enhancing a collaborative approach. Knowledge of the National
-
deviation from the healthy distribution. But in the absence of labels, how should we direct the model to learn relevant features, and how can we determine which features are relevant? These questions
-
. Enforcing these is hard when the data, the model, and the rules belong to different parties, none of whom can hand over what they hold. Privacy-preserving AI protects data and models but not rules, while
-
Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
to significantly accelerate computations while maintaining sufficient physical accuracy for geoscience applications. Inspired by methods from computer graphics, this approach could enable unprecedented resolutions
-
modeling, computer simulation, non-linear model analysis, interactive learning environments and decision-laboratory experiments. About the project/work tasks: Description of the INTEGRATOR project