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 Exeter;
- University of Regensburg
- Vrije Universiteit Brussel
- Arts et Métiers Institute of Technology (ENSAM)
- CMU Portugal Program - FCT
- 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
- Nottingham Trent University;
- 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 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
- 54 more »
- « less
-
Field
-
interaction, signal processing, data science and machine learning. The successful candidate will gain expertise at the intersection of structural health monitoring, railway engineering, and advanced artificial
-
for future flight. You will develop a strong expertise in computational mechanics, structural health monitoring and machine learning with a particular focus on fundamental aspects that can have far-reaching
-
the project is the development of AI-based pipelines for detecting, segmenting, and classifying lichen communities. Convolutional neural networks (e.g., U-Net, DeepLab) and machine-learning algorithms (e.g
-
knowledge with statistics, machine learning, Deep Learning and AI are an advantage • Good knowledge of the English language LanguagesENGLISH Research FieldEnvironmental science » Ecology Additional
-
or Python) • Good knowledge of the English language • Experience with statistics, machine learning, Deep Learning and AI are an advantage • Familiarity with fundamental ecological concepts and experience in
-
. The objective of the research is to use machine learning methods to find models of ship trajectories and traffic patterns that can be used to detect anomalies and predict into the future. The basis for this is
-
FOR DRAWING UP OF PREDOCTORAL CONTRACTS FOR THE TRAINING OF DOCTORAL STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 119865 Development of machine-learning and graph-based models
-
Deadline 28 Feb 2026 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
-
stimulating, interdisciplinary environment. develop and validate machine learning models to extract digital biomarkers for atypical parkinsonism from real-world wearable sensor data. interpret findings in close
-
modelling. Some experience with programming in R and/or Python. Exposure to climate or weather data, forecasting systems, or geospatial tools. Understanding of or curiosity about machine learning, AI