Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Curtin University
- SciLifeLab
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- ; University of Leeds
- Nature Careers
- Technical University of Munich
- ;
- Chalmers University of Technology
- Cranfield University
- DAAD
- Humboldt-Stiftung Foundation
- Swinburne University of Technology
- ; University of Warwick
- CWI
- Leibniz
- Monash University
- Mälardalen University
- RMIT University
- ; Anglia Ruskin University
- ; Durham University
- ; Manchester Metropolitan University
- ; Swansea University
- ; University of Birmingham
- ; University of Exeter
- ; University of Plymouth
- Ariel University
- Canadian Association for Neuroscience
- Deutsches Elektronen-Synchrotron DESY •
- ETH Zurich
- Fraunhofer-Gesellschaft
- Ghent University
- Hannover Medical School •
- ICN2
- Karlsruhe Institute of Technology •
- Leiden University
- Linköping University
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Sustainable Materials •
- MedUni Vienna
- National Research Council Canada
- Queensland University of Technology
- Radboud University
- Technische Universität Berlin •
- Umeå University
- University of Southern Denmark
- University of Twente
- Universität Hamburg •
- Utrecht University
- VIB
- 43 more »
- « less
-
Field
-
the research project This project is set to explore so-called shared control between the driver of a car and the car's safety systems. By mechanically disconnecting the driver's steering wheel from
-
, adaptive control strategies, and hybrid energy storage solutions to address key challenges in self-powered systems under dynamic environmental conditions by: Develop machine learning or heuristic-based
-
. Applying machine learning to New Zealand’s landslide inventories to model landslide location, character and dynamics. Integrating time-series and inventory data to develop new models to predict location
-
We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only
-
analysis, computational text and image analysis, or machine learning. Scientific outputs within the subject areas of IAS research. Fluency in English is required. Knowledge of Swedish is also desirable
-
15.04.2025, Wissenschaftliches Personal The Lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is inviting applications for a fully funded PhD position in interpretable machine
-
and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
-
, supporting studies in military aircraft systems. Engaging with these facilities allows students to acquire practical skills and technical expertise, enhancing their research capabilities and employability in
-
platforms • Digital signal processing • Electrical engineering • Instrumentation science • Manufacturing and machining • Mechanical engineering • Millimetre-wave technology • Optical
-
for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks