Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Nottingham
- Aalborg University
- Nature Careers
- HONG KONG BAPTIST UNIVERSITY
- University of Antwerp
- University of Texas at El Paso
- Carnegie Mellon University
- Linköping University
- Uppsala universitet
- Aalborg Universitet
- CNRS
- George Mason University
- Hasselt University
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Inria, the French national research institute for the digital sciences
- Leiden University
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Northeastern University
- Norwegian University of Life Sciences (NMBU)
- Oak Ridge National Laboratory
- Technical University of Munich
- Umeå University
- Cranfield University
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Empa
- European Synchrotron Radiation Facility
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- GFZ Helmholtz-Zentrum für Geoforschung
- Harvard University
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- Imperial College London;
- KU LEUVEN
- King's College London
- Leibniz
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Mid Sweden University
- Newcastle University
- Queensland University of Technology
- Saarland University •
- SciLifeLab
- Technical University of Denmark
- The University of Chicago
- UNIVERSITY OF VIENNA
- Umeå universitet
- University of Bremen •
- University of Cambridge
- University of East Anglia
- University of Exeter
- University of Ljubljana
- University of New Mexico
- University of Plymouth
- University of Southern Denmark
- University of St. Thomas
- University of Surrey
- University of Surrey;
- University of Tübingen
- University of Vienna
- Universität Wien
- 53 more »
- « less
-
Field
-
and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with AI / probabilistic AI / Machine Learning / Reinforcement Learning Experience with numerical
-
Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
-
CFD, thermofluids and machine learning. Experience in Python (or another language), machine learning frameworks, or CFD tools such as OpenFOAM is beneficial but not required. Applicants should hold (or
-
, robotics, and machine learning. You will work within a multidisciplinary supervisory team spanning engineering, robotics, and computer science, and collaborate with researchers working on real-world
-
shelf lives, and additionally may change colour, texture, and stiffness rapidly. Further, the lack of standardised 3D models for the wide variety of products makes offline learning challenging. As a
-
Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) • Strong programming skills (e.g., Python) • Strong skills in machine learning, deep learning and modern
-
of Engineering), Mike Pound (Computer Vision, Computer Science Department), and Darren Wells (Plant and Crop Biophysics, School of Biosciences). Who we are looking for An enthusiastic, self-motivated, resourceful
-
discipline. Experience with deep learning framework PyTorch or similar. Strong background in machine learning, image or signal processing. Knowledge of SotA models for multi-modality and scene understanding
-
Experience with AI / probabilistic AI / Machine Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Experience with predictive maintenance, fatigue, fault detection
-
Intelligence (AI) and Machine Learning (ML) capabilities into distributed cloud-edge infrastructures to enable autonomous and efficient network/service management. The PhD candidate will investigate innovative