Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Cranfield University
- Technical University of Munich
- ;
- Technical University of Denmark
- Nature Careers
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Ghent University
- Monash University
- University of Groningen
- Chalmers University of Technology
- Curtin University
- ; The University of Manchester
- NTNU - Norwegian University of Science and Technology
- Umeå University
- University of Adelaide
- University of Southern Denmark
- University of Twente
- Vrije Universiteit Brussel
- ; Swansea University
- DAAD
- Radboud University
- SciLifeLab
- ; Newcastle University
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Leeds
- Aalborg University
- Erasmus University Rotterdam
- Linköping University
- University of Cambridge
- University of Copenhagen
- University of Nottingham
- University of Southern Queensland
- ; Aston University
- ; Brunel University London
- ; University of Birmingham
- ; University of Bristol
- ; University of East Anglia
- ; University of Exeter
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- Aarhus University
- Blekinge Institute of Technology
- Copenhagen Business School , CBS
- Deutsches Elektronen-Synchrotron DESY •
- Harper Adams University
- Helmholtz-Zentrum Geesthacht
- Institut Pasteur
- Leibniz
- Leiden University
- Lulea University of Technology
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- Queensland University of Technology
- Trinity College Dublin
- University of Antwerp
- University of Bern
- University of Bremen •
- University of Oslo
- University of Potsdam •
- Uppsala University
- Utrecht University
- Wageningen University and Research Center
- 57 more »
- « less
-
Field
-
algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
-
control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with
-
input needs, accompanied by a boost in algorithmic development, e.g., multi-modal learning, transfer learning, federate learning, and knowledge embedding, etc. However, a significant motivation of
-
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
-
microscopy and atom probe tomography will be prepared. Finally, you will merge the images by means of deep learning algorithms. Your tasks in detail Development of the experimental protocol for the imaging
-
to muon g-2 from lattice Quantum Chromodynamics and algorithmic developments for multi-level and RG-improved simulations (research group of Urs Wenger) C.) Study of multi-hadron systems, with a focus on
-
. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
-
PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
that you help us to solve that problem! The objectives are to develop a world-wide accepted new standard for testing large systems in RC, by comparing the newest fast EM sensor systems, comparing performance
-
operating (Waterstromen) membrane-based wastewater treatment plants. As part of the UT team, you will develop a robust model predictive control (MPC) algorithm based on sensor and other system inputs that can
-
leverage low-precision accelerators for scientific computing by using a number of tricks, known as "mixed-precision" algorithms. Developing such algorithms is far from trivial. We can look at computational