Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Cranfield University
- Forschungszentrum Jülich
- Technical University of Denmark
- Technical University of Munich
- University of Exeter
- Eindhoven University of Technology (TU/e)
- Nature Careers
- DAAD
- University of Southern Denmark
- Delft University of Technology (TU Delft); yesterday published
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Queensland University of Technology
- CNRS
- Fraunhofer-Gesellschaft
- Leiden University
- University of Amsterdam (UvA)
- University of Birmingham
- University of Nottingham
- Monash University
- Tallinn University of Technology
- Newcastle University
- Umeå University
- University of Adelaide
- Uppsala universitet
- ;
- KU LEUVEN
- University of Basel
- University of Cambridge
- Curtin University
- Delft University of Technology (TU Delft); today published
- Empa
- Leibniz
- Linköpings universitet
- Loughborough University
- Murdoch University
- Universidade de Vigo
- University of East Anglia
- University of Exeter;
- University of Luxembourg
- University of Southern Queensland
- Utrecht University
- Vrije Universiteit Brussel
- Aalborg University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- ETH Zürich
- Erasmus University Rotterdam
- Imperial College London;
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- La Trobe University
- Luleå tekniska universitet
- Norwegian University of Life Sciences (NMBU)
- Swansea University
- The University of Manchester
- University of Amsterdam (UvA); Published today
- University of Cambridge;
- University of Oxford;
- University of Twente
- University of Twente (UT)
- Academic Europe
- CSIRO
- Chalmers University of Technology
- DTU Electro
- Eindhoven University of Technology (TU/e); Eindhoven
- Eindhoven University of Technology (TU/e); Published today
- Eindhoven University of Technology (TU/e); yesterday published
- Erasmus MC (University Medical Center Rotterdam)
- Graz University of Technology
- IRTA
- ISCTE - Instituto Universitário de Lisboa
- Linköping University
- Lulea University of Technology
- Luleå University of Technology
- Maastricht University (UM)
- Manchester Metropolitan University;
- Nanyang Technological University
- National University of Science and Technology POLITEHNICA Bucharest
- Newcastle University;
- Technical University Of Denmark
- The University of Manchester;
- UCL
- UiT The Arctic University of Norway
- Umeå universitet
- Universitat Autonoma de Barcelona
- Universitat Politècnica de València
- University of Amsterdam (UvA); Amsterdam
- University of Beira Interior
- University of Birmingham;
- University of Groningen
- University of Innsbruck, Institute of Computer Science
- University of Plymouth
- University of Plymouth;
- University of Potsdam •
- University of Sheffield;
- University of Surrey
- University of Warwick
- VIB
- Vrije Universiteit Amsterdam (VU)
- 90 more »
- « less
-
Field
-
creation of a database for the various pollution sensors with a view to training online (non-embedded) models in the first instance. - Development of a machine learning algorithm based on the study database
-
Centre brings together the innovation power of the State Government of South Australia, The University of Adelaide, and CSIRO Data61 in an unprecedented partnership. This is your chance to join an elite
-
of novel physics-guided AI algorithms for drug design, integrating physics-based modeling with state-of-the-art deep learning methods. The project will focus on creating a next-generation docking framework
-
are categorised as non-destructive testing techniques, but they can be costly considering the number of sensors required and the maintenance of the data acquisition system. Hence, the alternative of direct
-
—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
-
sensors systems and UAVs at different scales. In particular, we will combine borehole and surface GPR as well as small-scale EMI measurements with root and shoot observations in controlled experiments
-
is to develop machine-learning-based algorithms for transmitter pre-distortion and receiver post-distortion architectures that enable distortion-free quantum communication systems. A key focus will be
-
to demonstrate real-world feasibility. The overarching goal is to bridge high-level algorithmic innovation with energy-aware hardware deployment, enabling intelligent sensor systems that act as autonomous micro
-
, LiDAR, AHRS, and other sensors directly on low-power embedded platforms. Where to apply E-mail resurse.umane@upb.ro Requirements Research FieldEngineering » Electronic engineeringEducation LevelMaster
-
data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category