Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- ;
- Technical University of Munich
- DAAD
- Technical University of Denmark
- Forschungszentrum Jülich
- Nature Careers
- University of Groningen
- Curtin University
- Fraunhofer-Gesellschaft
- Ghent University
- Monash University
- NTNU - Norwegian University of Science and Technology
- ; The University of Manchester
- University of Cambridge
- University of Southern Denmark
- Aalborg University
- Chalmers University of Technology
- RMIT University
- Umeå University
- University of Nottingham
- University of Twente
- Vrije Universiteit Brussel
- ; Swansea University
- SciLifeLab
- University of Adelaide
- University of Southern Queensland
- ; Newcastle University
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Leeds
- Erasmus University Rotterdam
- Imperial College London
- Linköping University
- Radboud University
- Susquehanna International Group
- Trinity College Dublin
- University of British Columbia
- University of Copenhagen
- Wageningen University and Research Center
- ; Aston University
- ; Brunel University London
- ; University of Bristol
- ; University of East Anglia
- ; University of Essex
- ; University of Exeter
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- ; University of York
- Aarhus University
- Blekinge Institute of Technology
- Copenhagen Business School , CBS
- Deutsches Elektronen-Synchrotron DESY •
- ETH Zurich
- Harper Adams University
- Helmholtz-Zentrum Geesthacht
- Institut Pasteur
- Leibniz
- Leiden University
- Lulea University of Technology
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- McGill University
- Newcastle University
- Prof. Ruilin Pei and Shenyang University of Technology
- Purdue University
- Queensland University of Technology
- Saarland University •
- The University of Alabama
- University of Antwerp
- University of Bern
- University of Bremen •
- University of Minnesota
- University of Nebraska–Lincoln
- University of Oslo
- University of Texas at Austin
- University of Tübingen
- Uppsala University
- 71 more »
- « less
-
Field
-
operation Quantum algorithm implementation and benchmarking About you You have a relevant Masters deegree corresponding to at least 240 higher education credits (Physics, Nanotechnology, Engineering, Computer
-
algorithms model major sources of experimental error for control theory or co-design methods Previous works can be found under the bibliographies of Dr. Felix Motzoi and and Dr. Matthias Müller: https
-
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
-
our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines
-
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
-
detection and classification algorithms using measured and/or simulated data, such as current pulses from cable faults (breakdown), partial discharges and external noise. In addition to being part of
-
industrial partners and is partly externally funded by the KK Foundation. In co-production with our corporate partners and the community, we develop concepts, principles, methods, algorithms, and tools
-
structure, and of the force and tidal field that has been shaping the cosmic web. The basic detection algorithms to infer the overall structure of the cosmic web are the various versions of the scale-space
-
of structures, facilitating a form-finding process driven by FEM analysis. Training deep learning algorithms to suggest multiple structural concepts tailored to specific boundary conditions. Expanding FEM
-
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