Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- DAAD
- NTNU Norwegian University of Science and Technology
- University of Bergen
- NTNU - Norwegian University of Science and Technology
- Technische Universitaet Dresden
- Wageningen University & Research
- Aalborg Universitet
- Aalborg University
- Dublin City University
- Ghent University
- Heidelberg University
- Lulea University of Technology
- Max Planck Institute for Software Systems •
- National Renewable Energy Laboratory NREL
- Swansea University
- University of Amsterdam (UvA)
- University of Antwerp
- University of Sheffield
- University of Southern Denmark
- Université Catholique de Louvain (UCL)
- Warsaw University of Technology - Centre for Credible AI
- Østfold University College
- 12 more »
- « less
-
Field
-
reliable positioning across vehicles. Multi-sensor integration: Designing sensor fusion pipelines that combine sonar, inertial sensors (IMUs), Doppler velocity logs (DVL), and short baseline (SBL) systems
-
that combine sonar, inertial sensors (IMUs), Doppler velocity logs (DVL), and short baseline (SBL) systems. The focus is on achieving robust performance in GPS-denied, low-visibility, or acoustically challenging
-
. Through top scientific research, we push back boundaries and set a course for the future – a future that you can help to shape. The Department of Electrical and ICT Engineering Technology in the Faculty
-
, an expert-driven, manual, and time-consuming process used to simplify CAD models so that meshing tools can cope with small-scale features such as fillets and manufacturing details. This de-featuring is not
-
-Class Environment: Access to a leading research environment specializing in hardware/software for medical wearables, translational endocrinology, and machine learning for medical time-series. Cutting-Edge
-
, Germany. We Offer You: A World-Class Environment: Access to a leading research environment specializing in hardware/software for medical wearables, translational endocrinology, and machine learning
-
–based methods and software to assist physicians with: Disease classification Treatment decision support What-if analyses. Although the developed methods and software will be general-purpose, a special
-
application. Please feel free to contact us if you have any further questions. Your application documents should always include: Short curriculum vitae (including grade point average of all degrees and subjects
-
on atmospheric and catchment conditions and regarding their accuracy and sensitivity to the input data. A variety of algorithms will be tested, including ANNs, WNNs, SVM and CART, with the possible extension
-
aimed at developing novel Artificial Intelligence–based methods and software to assist physicians with: Disease classification Treatment decision support What-if analyses. Although the developed methods