Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- Curtin University
- Linköping University
- Nature Careers
- University of Tübingen
- Uppsala universitet
- CWI
- Cranfield University
- Delft University of Technology (TU Delft); Delft
- Forschungszentrum Jülich
- GFZ Helmholtz Centre for Geosciences
- Leiden University
- Norwegian University of Life Sciences (NMBU)
- Swinburne University of Technology
- University of Adelaide
- University of Luxembourg
- University of Nottingham
- ; Brunel University London
- ; City St George’s, University of London
- ; University of Nottingham
- ; University of Warwick
- Aalborg University
- CNRS
- COFAC
- Carnegie Mellon University
- Chalmers University of Technology
- Delft University of Technology (TU Delft)
- Drexel University
- Erasmus MC (University Medical Center Rotterdam)
- GFZ Helmholtz-Zentrum für Geoforschung
- Ghent University
- Imperial College London
- La Trobe University
- Leibniz
- Leiden University; Leiden
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- McGill University
- National Renewable Energy Laboratory NREL
- Northeastern University
- Queensland University of Technology
- RWTH Aachen University
- Reykjavik University
- Saarland University •
- Technical University Of Denmark
- Technical University of Munich
- Umeå University
- University of Antwerp
- University of Bremen •
- University of Cambridge;
- University of Copenhagen
- University of Southern Queensland
- University of Warwick
- Université Laval
- Vrije Universiteit Brussel
- Warsaw University of Technology
- 47 more »
- « less
-
Field
-
/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
-
control subjects based on diffusion MRI images and functional MRI responses. Duties include: Developing machine-learning and/or deep learning pipelines for classifying patients of optic neuropathies and
-
a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a holistic multi-hazard risk
-
partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
-
these constraints into the training objective, complicating model training. This project aims to leverage advancements in computer vision, particularly in implicit neural representations, to embed priors in neural
-
computer vision in dusty conditions by incorporating hyperspectral cameras. In addition, assisting in project applications and general development duties of the Chair. The position is available from
-
and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
-
, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction
-
of the position: Follow the faculty’s PhD program Plan design and carry out experiments and their analysis Prepare research articles for peer-reviewed journals (min. 3) Be willing to present results at conferences
-
the Division for Computer network and systems and the employment is placed with Chalmers University of Technology. Our research spans from theoretical computer science to applied systems development. We provide