Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- Lulea University of Technology
- Nature Careers
- Technical University of Denmark
- University of Groningen
- Cranfield University
- NTNU - Norwegian University of Science and Technology
- Chalmers University of Technology
- DAAD
- University of Southern Denmark
- Eindhoven University of Technology (TU/e)
- Technical University of Munich
- University of Melbourne
- ;
- Ghent University
- Leibniz
- Umeå University
- Brandenburg University of Technology Cottbus-Senftenberg •
- CWI
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e); Eindhoven
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Loughborough University;
- Norwegian University of Life Sciences (NMBU)
- University of Manchester
- University of Nottingham
- University of Potsdam •
- Vrije Universiteit Brussel
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Birmingham
- ; University of Bristol
- ; University of Sheffield
- ; University of Southampton
- ; University of Sussex
- Alma Mater Studiorum Università di Bologna
- Arts et Métiers Institute of Technology (ENSAM)
- CNRS - Institut Lumière Matière
- COFAC
- Chalmers University of Techonology
- Coventry University Group;
- Curtin University
- DIFFER
- Elestor BV
- Empa
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- Friedrich Schiller University Jena
- Fureho AB
- Grenoble INP - Institute of Engineering
- Hertie School •
- Human Technopole
- ICN2
- Inria, the French national research institute for the digital sciences
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Institute of Physics of the Czech Academy of Sciences
- Instituto Superior Técnico
- Instituto de Telecomunicações
- Julius-Maximilians-Universität Würzburg •
- KU LEUVEN
- Karlsruhe Institute of Technology •
- La Trobe University
- Leibniz Institute of Ecological Urban and Regional Development (IOER) •
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Leipzig University •
- Linköping University
- Linköpings universitet
- Linnaeus University
- Ludwig-Maximilians-Universität München •
- Luleå University of Technology
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Monash University
- National Research Council Canada
- Newcastle University
- Queensland University of Technology
- Radboud University
- Reykjavik University
- Riga Technical University
- Saarland University •
- SciLifeLab
- Swansea University
- TU Dresden
- Technical University Of Denmark
- Technical University of Denmark;
- Technische Universität Berlin •
- The University of Auckland
- The University of Edinburgh
- The University of Edinburgh;
- Ulm University •
- Umeå universitet
- Universite de Montpellier
- University College Dublin
- University of Adelaide
- University of Chemistry and Technology Prague
- University of Groningen; Groningen
- University of Kassel •
- 90 more »
- « less
-
Field
-
, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
-
investigate strategies to enhance communication security, focusing on resilience against jamming and spoofing attacks. Students will work on designing secure architectures that ensure data integrity and system
-
architectures, and on-device inference on edge-compute platforms. Demonstrated analytical problem-solving through experimental design, critical quantitative and qualitative data analysis, and validation
-
understanding of how genomic architectures drive soil carbon sequestration and will highlight microbial biodiversity suited to specific soils and climates, paving the way for more sustainable soil management
-
operational employment. This doctoral research will thus leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modelling systems as graphs
-
. This project will explore recent advancements in implicit neural representations, which have demonstrated effective neural network activations for computer vision. Our goal is to design new PINN architectures
-
Fields: Open across ten schools covering disciplines such as Engineering, Construction, Computer Science, Law, Business, Arts and Creative Industries, Architecture, Health, and Education Duration: Standard
-
interoperability across complex assets and systems. The research will explore how common data architectures can be used to enhance semantic understanding and enable better decision-making across system-of-systems
-
of diverse, deformable textiles at cycle times below one second, while hyperspectral, NIR, Raman, and RGB sensors feed an edge-compute AI pipeline for real-time decision making that routes each item
-
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