Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Delft University of Technology (TU Delft)
- Forschungszentrum Jülich
- Technical University of Denmark
- Nature Careers
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Technical University of Munich
- Swansea University
- University of Bergen
- CNRS
- Eindhoven University of Technology (TU/e)
- Newcastle University
- University of Exeter
- University of Nottingham
- DAAD
- Delft University of Technology (TU Delft); yesterday published
- Fraunhofer-Gesellschaft
- Leiden University
- Tallinn University of Technology
- Umeå University
- University of Luxembourg
- University of Southern Denmark
- University of Twente
- Aalborg University
- Linköping University
- Monash University
- University of A Coruña
- University of Adelaide
- University of Amsterdam (UvA)
- University of Basel
- University of Twente (UT)
- Uppsala universitet
- Utrecht University
- Aalborg Universitet
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- ETH Zürich
- Empa
- Erasmus University Rotterdam
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- KU LEUVEN
- Linköpings universitet
- The University of Manchester
- University of Exeter;
- University of Groningen
- University of Southern Queensland
- Chalmers University of Technology
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Heidelberg University
- ISCTE - Instituto Universitário de Lisboa
- Imperial College London;
- Institute for bioengineering of Catalonia, IBEC
- Loughborough University
- Luleå University of Technology
- Manchester Metropolitan University
- Manchester Metropolitan University;
- National University of Science and Technology POLITEHNICA Bucharest
- Newcastle University;
- Norwegian University of Life Sciences (NMBU)
- Queensland University of Technology
- UNIVERSIDAD POLITECNICA DE MADRID
- UiT The Arctic University of Norway
- Universidad de Alicante
- Universidade de Vigo
- Universitat Politècnica de València
- University of Amsterdam (UvA); Published today
- University of Birmingham
- University of Cambridge
- University of Cambridge;
- University of Innsbruck, Institute of Computer Science
- University of Oxford;
- University of Surrey
- University of Texas at Austin
- University of Vienna
- University of Warwick
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- ;
- Aarhus University
- Brookhaven National Laboratory
- Bucharest Universty of Economic Studies
- CIC nanoGUNE
- Catholic University Eichstaett-Ingolstadt
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Centre for Genomic Regulation
- Charles University, Faculty of Mathematics and Physics
- Columbia University
- Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy
- Cranfield University;
- Curtin University
- DTU Electro
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); today published
- Deutsches Elektronen-Synchrotron DESY •
- Edmund Mach Foundation
- Eindhoven University of Technology (TU/e); 4 Oct ’25 published
- Eindhoven University of Technology (TU/e); Published today
- Eindhoven University of Technology (TU/e); Published yesterday
- Eindhoven University of Technology (TU/e); today published
- Eindhoven University of Technology (TU/e); yesterday published
- 90 more »
- « less
-
Field
-
science and societal application. We contribute to innovative information technologies through the development and application of new concepts, theories, algorithms, and software methods. With our expertise
-
person. Aims: The project aims to develop and evaluate AI methods for medical image analysis to detect diabetic retinopathy, glaucoma, cataract and age-related macular degeneration (AMD). As
-
, the project will develop algorithms for ecological sensing, adaptive motion planning, and energy optimisation under real-world constraints. Scaled experiments and high-fidelity simulations will validate system
-
instrumentation of the structure, whilst effective, can be logistically expensive to implement for the entire network. To address these challenges, the project aims to develop a novel, population-based indirect
-
) To develop Deep Learning algorithms to significantly speed up probabilistic inference algorithms of current spatial birth-death models 2) To incorporate fossil stratigraphic and spatial information into a new
-
behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental
-
these technologies can only read DNA fragments of limited length. We enable biological interpretation of these sequencing data sets by developing algorithms based on graph theory, discrete optimization and machine
-
data preprocessing, algorithm development, and optimization techniques. Excellent communication skills in English. Prior experience with environmental or photocatalytic systems is a plus. A fully funded
-
. Description of the position The position focuses on developing next-generation learning-based decision-making and control for autonomous robots operating safely in dynamic, crowded environments. As a PhD
-
) Interpretable machine learning for network adaptation. In this thesis, the student will study how interpretable models and explainable learning algorithms could be used in real cellular networks for safe