Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- Delft University of Technology (TU Delft)
- ETH Zürich
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- Delft University of Technology (TU Delft); yesterday published
- Aalborg University
- Cranfield University
- DAAD
- NTNU Norwegian University of Science and Technology
- University of Luxembourg
- University of Southern Denmark
- University of Warwick
- Amsterdam UMC
- Curtin University
- Graz University of Technology
- KU LEUVEN
- La Trobe University
- Loughborough University
- Norwegian University of Life Sciences (NMBU)
- Technical University of Denmark
- Universidade de Coimbra
- University of Bergen
- ;
- Academic Europe
- Ariel University
- Arts et Métiers Institute of Technology (ENSAM)
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Brookhaven National Laboratory
- CIC nanoGUNE
- CNRS
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Centre for Genomic Regulation
- Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy
- Computer Vision Center (CVC)
- Cornell University
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Deutsches Elektronen-Synchrotron DESY •
- Dublin City University
- Ecole Normale Supérieure
- Edmund Mach Foundation
- Eindhoven University of Technology (TU/e)
- Elestor BV
- Empa
- FCT NOVA - UNIDEMI
- Fraunhofer-Gesellschaft
- Fundació per a la Universitat Oberta de Catalunya
- GFZ Helmholtz-Zentrum für Geoforschung
- Hannover Medical School •
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- ICN2
- IMEC
- IRTA
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Institute of Image-Guided Surgery of Strasbourg
- Institute of Physical Chemistry, Polish Academy of Sciences
- Itä-Suomen yliopisto
- KINGS COLLEGE LONDON
- King's College London
- LIP - Laboratório de Instrumentação e Física Experimental de Partículas
- Ludwig-Maximilians-Universität München •
- Luleå University of Technology
- Lunds universitet
- Manchester Metropolitan University
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute of Biochemistry, Martinsried
- MedUni Vienna
- Monash University
- Mälardalen University
- National University of Singapore
- Newcastle University
- Newcastle University;
- Oxford Brookes University
- Pro2Future GmbH
- Queensland University of Technology
- Swansea University;
- Tallinn University of Technology
- Technische Universität Berlin •
- The University of Alabama
- The University of Edinburgh;
- The University of Newcastle
- UNIVERSIDAD POLITECNICA DE MADRID
- Umeå University
- Universidade de Vigo
- Universitat Autonoma de Barcelona
- University Medical Center Utrecht (UMC Utrecht)
- University of Adelaide
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Published today
- University of Amsterdam (UvA); Published yesterday
- University of Basel
- University of California, Los Angeles
- University of Cambridge
- University of Cambridge;
- University of East Anglia
- University of Essex
- University of Exeter
- 90 more »
- « less
-
Field
-
). • Experience in data preparation, machine learning • Experience in processing 3D medical imaging. • Keen interest in cardiology and medical imaging. • Good command of the English language. • Ability
-
of students and can include, technique development, microscopy-spectroscopy, analysis/programming (including AI and machine learning) and materials-focused studies. We use innovative high-resolutionidentical
-
representations. In this project, you will substantially improve quantitative magnetic resonance imaging (MRI) image quality using deep learning approaches. Quantitative MRI allows healthcare providers
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
1801P.01460.1.06 LARSYS/ISR BASE 2025-2029 - LASEEB LAB/ISR, financed by national funds through FCT/MCTES (PIDDAC Workplan: The scholarship holder will acquire simultaneous EEG/fMRI imaging from healthy
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
-
heterogeneity using advanced seismic imaging Interact with project partners to integrate observations into the known deformation history Project 2: Adapt and apply machine learning techniques for the detection
-
Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 1 month ago
] Cross, E. J., Gibson, S. J., Jones, M. R., Pitchforth, D. J., Zhang, S., & Rogers, T. J. (2021). Physics-informed machine learning for structural health monitoring. Structural health monitoring based
-
designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
-
Machine Learning. Work plan: Review of the state of the art on Evolutionary Algorithms and image tampering detection; Implementation of an evolutionary algorithm for image tampering detection
-
appropriate benchmarks and evaluation metrics to assess the developed models. Write a thesis consisting of four published articles in the fields of Information Retrieval, Natural Language Processing and Machine