Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Munich
- Cranfield University
- Technical University of Denmark
- Forschungszentrum Jülich
- Nature Careers
- Monash University
- University of Southern Denmark
- ;
- Curtin University
- DAAD
- Ghent University
- University of Groningen
- NTNU - Norwegian University of Science and Technology
- Umeå University
- University of Adelaide
- Vrije Universiteit Brussel
- ; Newcastle University
- ; Swansea University
- ; The University of Manchester
- Chalmers University of Technology
- University of Nottingham
- ; Technical University of Denmark
- ; University of Exeter
- ; University of Leeds
- Aalborg University
- Aarhus University
- Leiden University
- Linköping University
- Radboud University
- University of British Columbia
- University of Cambridge
- University of Copenhagen
- University of Southern Queensland
- University of Twente
- Utrecht University
- ; Brunel University London
- ; University of Bristol
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- Deutsches Elektronen-Synchrotron DESY •
- Erasmus University Rotterdam
- Harper Adams University
- Helmholtz-Zentrum Geesthacht
- Institut Pasteur
- Leibniz
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Lulea University of Technology
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- Queensland University of Technology
- Saarland University •
- SciLifeLab
- TU Dresden
- Technical University of Denmark;
- Trinity College Dublin
- University of Antwerp
- University of Bremen •
- University of Bristol;
- University of Luxembourg
- University of Nottingham;
- University of Oslo
- University of Potsdam •
- Wageningen University and Research Center
- 55 more »
- « less
-
Field
-
software frameworks, algorithms, robust testing and validation methods, and/or empirically validated solutions that contribute directly to social good, promoting trust, fairness, transparency, and
-
build the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems
-
however require a significant measurement effort to be estimated, especially in the high-precision regime relevant for fault-tolerant quantum computing. You will investigate recent advances in
-
, Helmut Schmidt University, and Hamburg University of Applied Sciences Teaching language English Languages All relevant courses are held in English. Programme duration 6 semesters Beginning Only
-
algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
-
algorithm. Design methods: Develop novel control methods for power electronic converters feeding electric machine Simulation: Learn advanced simulation tools such as Ansys to simulate and analyze the effect
-
information from high-quality videos that share content with distorted footage as constraints in the learning process of modelling algorithms. This method uses the characteristics and knowledge embedded in high
-
and reproducible research, e.g., in the development of codes and algorithms. We will focus on devising computational solutions that can immediately be of use in other applications contexts as well
-
the development of new algorithms for processing, analysis and inversion of active and passive seismic data and the application of these algorithms to field data. Student type Future Students Faculties and centres
-
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