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
- Aalborg Universitet
- Delft University of Technology (TU Delft)
- Forschungszentrum Jülich
- George Mason University
- HONG KONG BAPTIST UNIVERSITY
- Harvard University
- Leiden University
- Nature Careers
- Umeå universitet
- Aarhus University
- BI Norwegian Business School
- CNRS
- Centre de Mise en Forme des Matériaux (CEMEF)
- European Synchrotron Radiation Facility
- Fundació per a la Universitat Oberta de Catalunya
- GFZ Helmholtz-Zentrum für Geoforschung
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- Institutionen för akvatiska resurser
- KU LEUVEN
- Karolinska Institutet, doctoral positions
- Leibniz
- Linköping University
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute of Animal Behavior, Radolfzell / Constance
- Northeastern University
- Saarland University •
- Swedish University of Agricultural Sciences
- Tallinn University of Technology
- Technical University of Munich
- UTTOP
- UiT The Arctic University of Norway
- Umeå University
- University Medical Center Groningen
- University of Amsterdam (UvA)
- University of Basel
- University of Birmingham
- University of Birmingham;
- University of Cambridge
- University of Nottingham
- University of St. Thomas
- University of Texas at El Paso
- Universität Wien
- 36 more »
- « less
-
Field
-
vision imaging technologies and machine learning methods to estimate physiological parameters (eat-readiness, shelf-life) of fruits at industrial sorting speeds. The work will include creating an accurate
-
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
-
on human-machine trust, digital identity, and biometric security in financial and governmental ecosystems.The researcher will be a key member of the team and be responsible for and coordinate research, labs
-
international research environment covering a wide variety of research areas, such as algorithms and data structures, machine learning, computer graphics and vision, database systems, artificial intelligence
-
research disciplines. For further information about the different research disciplines see https://www.ntnu.edu/imf/research . Are you motivated to take a step towards a doctorate and open exciting career
-
to machine learning. This PhD provides a unique opportunity to shape emerging concepts in Artificial Intelligence Informed Mechanics (AIIM), combining fundamental research with methodological innovation. You
-
-state model will be approximated using machine-learning surrogates and will be used for a real-time optimization, such that the plant operates optimally despite disturbances. The candidate will be part of
-
both independently and as part of an international, interdisciplinary team Assets•Experience with computer vision or deep learning (e.g. PyTorch, TensorFlow)•Familiarity with street view imagery or other
-
Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field (background in any of the following); Being excited to make a real impact with
-
modelling, and high-performance computing. The position offers close supervision, access to modern computational infrastructure, and collaboration opportunities across disciplines — from mechanics to machine