Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Aalborg University
- University of Nottingham
- Nature Careers
- Cranfield University
- Newcastle University
- Technical University of Munich
- Aalborg Universitet
- Carnegie Mellon University
- Delft University of Technology (TU Delft)
- Forschungszentrum Jülich
- George Mason University
- Harvard University
- Leiden University
- Oak Ridge National Laboratory
- Umeå University
- University of Cambridge
- CNRS
- Computer Vision Center (CVC)
- ETH Zürich
- Empa
- Fundació per a la Universitat Oberta de Catalunya
- Graz University of Technology
- Institutionen för akvatiska resurser
- KU LEUVEN
- Karolinska Institutet, doctoral positions
- King's College London
- La Trobe University
- Leibniz
- Linköping University
- Ludwig-Maximilians-Universität München •
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Northeastern University
- Queensland University of Technology
- Saarland University •
- Swedish University of Agricultural Sciences
- Tallinn University of Technology
- Technical University of Denmark
- UNIVERSITY OF VIENNA
- UWE, Bristol;
- UiT The Arctic University of Norway
- Umeå universitet
- University Medical Center Groningen
- University of Amsterdam (UvA)
- University of Birmingham
- University of Birmingham;
- University of Bremen •
- University of St. Thomas
- University of Surrey
- University of Texas at El Paso
- University of Tübingen
- University of Vienna
- Universität Wien
- VSB - Technical University of Ostrava
- noma de Barcelona
- 48 more »
- « less
-
Field
-
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
-
, 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
-
This exciting opportunity is based within the Power Electronics and Machines Control Research Institute at Faculty of Engineering which conducts cutting edge research into power electronics
-
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
-
Digital. The research focuses on advanced signal analysis and machine learning methods that enable robust operation and service continuity in future wireless networks under challenging radio conditions. As
-
candidate is expected to hold: A master degree in biomedical engineering or computer science, Excellent programming skills (Python). Experience with data curation, large-scale datasets, and machine learning
-
Familiarity with popular computer languages and popular tools such as Python, MATLAB, C++, along with a strong willingness to learn more, is essential PLEASE NOTE: For detailed information about what the
-
Machine Learning A PhD position is available at the Computer Vision Center (CVC) under the supervision of Fernando Vilariño and Paula García . The successful candidate will be enrolled in
-
Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
-
, biostatistics, bioinformatics, and theoretical physics. Recently, AI (AlphaFold, computer vision, etc.) has had a huge impact on life science, proving that this field is constantly changing. The mission of QMB is