Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Antwerp
- Carnegie Mellon University
- Delft University of Technology (TU Delft)
- Monash University
- Technical University of Munich
- University of Nottingham
- Aalborg University
- KU LEUVEN
- Aalborg Universitet
- Durham University
- Harvard University
- Inria, the French national research institute for the digital sciences
- Leiden University
- Northeastern University
- SciLifeLab
- The University of Manchester
- Tilburg University
- University of Bedfordshire
- University of Oslo
- University of Tübingen
- Aarhus University
- Abertay University
- Adam Mickiewicz University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Eindhoven University of Technology (TU/e)
- Fondazione Bruno Kessler
- Fraunhofer-Gesellschaft
- George Mason University
- Georgia Southern University
- Instituto de Sistemas e Robótica (ISR)
- Istituto Italiano di Tecnologia
- Karolinska Institutet, doctoral positions
- LIVERPOOL JOHN MOORES UNIVERSITY
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Linnaeus University
- Ludwig-Maximilians-Universität München •
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Pennsylvania State University
- Saarland University •
- Swinburne University of Technology
- Technical University Of Denmark
- The Ohio State University
- The Open Universiteit (OU)
- The University of Newcastle
- University Medical Center Groningen
- University of Bergen
- University of Bremen •
- University of Florida
- University of Plymouth
- University of Texas at El Paso
- Wageningen University & Research
- 44 more »
- « less
-
Field
-
are applied in real-world settings characterized by large-scale networks, stochastic demand, operational disruptions, and complex constraints. A central research question is how machine learning can be
-
PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
(ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with machine learning
-
. We are seeking a candidate motivated to explore the how emerging technologies – such as machine learning, generative AI, and extended reality (XR) – impact societal preparedness planning required
-
. Government defensive missions. Our team provides technical guidance in capability and capacity development for Security Operations Centers (SOCs), National Cyber Centers, and Computer Security Incident
-
electrical engineering, control engineering, applied mathematics, computer science, or a related field A strong background in probability and statistics, machine learning, or control theory Interest in cyber
-
, networking, and signal processing. You have at least intermediate knowledge of machine learning algorithms. Knowledge of satellite communications, wireless sensing, radio propagation, optimization, or digital
-
Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field (background in any of the following); Being excited to make a real impact with
-
Profile areas Cluster of Excellence CMFI Cluster of Excellence GreenRobust Cluster of Excellence HUMAN ORIGINS Cluster of Excellence iFIT Cluster of Excellence Machine Learning Cluster of Excellence TERRA
-
. The supervision team includes: Prof. Ivan Depina – main supervisor and coordinator, probabilistic modelling, scientific machine learning Prof. Mohamed Hamdy – building performance simulation, building automation
-
feedback modeling, computer simulation, non-linear model analysis, interactive learning environments and decision-laboratory experiments. Description of the SPARK4B+ project The position is within the EU