Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- NTNU - Norwegian University of Science and Technology
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- CNRS
- KU LEUVEN
- Curtin University
- DAAD
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Tallinn University of Technology
- Universidade de Coimbra
- University of Adelaide
- University of Regensburg
- Vrije Universiteit Brussel
- ;
- Arts et Métiers Institute of Technology (ENSAM)
- CMU Portugal Program - FCT
- COFAC
- Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy
- Delft University of Technology (TU Delft); Published yesterday
- Dublin City University
- Duke University
- ETH Zürich
- Edmund Mach Foundation
- Empa
- IMDEA Networks Institute
- Imperial College London;
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Leibniz
- Loughborough University
- Loughborough University;
- Maastricht University (UM)
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for Sustainable Materials •
- NTNU Norwegian University of Science and Technology
- National Research Council Canada
- Polytechnic University of Catalonia
- RAEGE-Az
- RCSI - Royal College of Surgeons in Ireland
- Radboud University Medical Center (Radboudumc)
- Swansea University
- Technical University of Munich
- Technische Universität Berlin •
- UNINOVA - Instituto de Desenvolvimento de Novas Tecnologias
- Ulster University
- Universidad de Alicante
- Universitat Politècnica de València
- Universite Grenoble Alpes
- University of Bergen
- University of Cambridge;
- University of East Anglia
- University of Exeter
- University of Exeter;
- University of Ljubljana, Faculty of Mechanical Engineering
- University of Luxembourg
- University of New Hampshire
- University of Southern Denmark
- University of Southern Queensland
- University of Surrey;
- University of Twente (UT)
- University of Warwick
- Università degli Studi di Brescia
- VSB - Technical University of Ostrava
- Vrije Universiteit Brussel (VUB)
- Wageningen University & Research
- 56 more »
- « less
-
Field
-
. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier
-
management, and machine learning approaches for process monitoring and control For this function, our Brussels Humanities, Sciences & Engineering Campus (Elsene) will serve as your home base.
-
of machine learning algorithms are of real interest in improving the accuracy of water quality measurements, particularly in identifying, accounting for, and neutralizing ionic interference. The second key
-
skills/interests: Wireless networking, signal/array processing, machine learning, optimization, hands-on experience with hardware and systems. Objectives: To infer the status of distributed, heterogeneous
-
(PSI), within the research group EAVISE. The project explores audio representation learning for low-resource settings. Recent advances in machine learning for audio have focused on learning
-
and Space Weather. The successful candidate will contribute to the development, testing, and operation of solar monitoring stations, real-time data pipelines, and AI-based analysis tools. The position
-
Metal additive manufacturing process monitoring and control – Researcher, PhD position (ERC project)
of process condition variations. The important parts of the control system to be developed within this project are i) coaxial measuring of meltpool depth variations, and ii) machine learning-based models
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
-
preprocessing IoMT network traffic datasets. Implement and evaluate machine learning algorithms (e.g., logistic regression, SVM, random forest) for intrusion detection. Develop prototype software tools (e.g
-
. Until now, specific EN fingerprints of localized corrosion are determined manually. This is a tedious procedure that requires considerable expert knowledge. Artificial intelligence or machine learning (AI