Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Groningen
- DAAD
- Nature Careers
- Technical University of Munich
- IMT Atlantique
- ;
- Chalmers University of Technology
- Curtin University
- KU Leuven
- NTNU Norwegian University of Science and Technology
- ; Loughborough University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Nottingham
- ; University of Warwick
- CWI
- Cranfield University
- Erasmus University Rotterdam
- Forschungszentrum Jülich
- Ghent University
- Heidelberg University
- Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ
- Leiden University
- Linköping University
- Luxembourg Institute of Science and Technology
- Mines Paris - PSL, Centre PERSEE
- Monash University
- NTNU - Norwegian University of Science and Technology
- Prof. Ruilin Pei and Shenyang University of Technology
- Radboud University
- SciLifeLab
- Singapore University of Technology and Design
- TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)
- Technical University of Denmark
- The University of Alabama, Department of Electrical and Computer Engineering
- Trinity College Dublin
- University of Adelaide
- University of Antwerp
- Uppsala universitet
- Vrije Universiteit Brussel
- 30 more »
- « less
-
Field
-
[Crockett2022], minimizing artifacts and improving clinical reliability. Meta-learning algorithms [Andrychowicz2016] will be implemented to optimize reconstruction efficiency for real-time bedside applications
-
movements for enhanced training of machine-learning algorithms. 1.4. Interdisciplinarity aspects The theme of research of project FITNESS lies at the intersection of medical science (rehabilitation field) and
-
of digital communications and signal processing. High grades in the core courses are required. Skills in mathematical analysis, modeling, and network algorithms are essential. Analytical thinking, eagerness
-
through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
-
algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
-
. The position is hosted at the Chair for Algorithms and Complexity, headed by Prof. Susanne Albers (http://wwwalbers.in.tum.de/index.html.en). The dissertation work will involve research in the fields
-
remote sensing imagery (e.g. roof material and condition, wall materials, type of building) Generating results from these algorithms for areas requested by our industry partner Documenting and packaging
-
theoretical background for MIMO related research, and have attended courses such as Information Theory, Signal and Systems, Modulation and Detection. Experience with OFDM or single carrier baseband algorithms
-
world is continuously sensed and/or explicitly shared to provide a model of 6G network environment and its users – encouraging design of algorithms, protocols, and systems that “intelligently” fuse data