Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- United Kingdom
- Austria
- Australia
- Germany
- Norway
- Belgium
- Sweden
- Netherlands
- Denmark
- Singapore
- Luxembourg
- Spain
- India
- China
- Poland
- Portugal
- Czech
- Hong Kong
- Ireland
- Switzerland
- Italy
- Morocco
- Canada
- Lithuania
- Bulgaria
- Finland
- New Zealand
- United Arab Emirates
- Andorra
- Armenia
- Barbados
- Europe
- Kyrgyzstan
- Slovakia
- Slovenia
- South Africa
- Worldwide
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Economics
- Science
- Mathematics
- Business
- Chemistry
- Environment
- Linguistics
- Humanities
- Education
- Social Sciences
- Law
- Arts and Literature
- Earth Sciences
- Materials Science
- Philosophy
- Psychology
- Electrical Engineering
- Sports and Recreation
- Physics
- Design
- 14 more »
- « less
-
employment. Starting date: 09.04.2026 Job description:PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 987 - 2026/WP 1 Work location: Hamburg Application deadline
-
, and deployability of deep learning models on resource-constrained edge platforms. The PhD candidate will collaborate closely with international project partners and contribute to advancing next
-
project at the forefront of microscopy and bioimage analysis (https://www.msca-agile.eu/ ) and contribute to OMERO integration and optimization of Biom3d, a cutting-edge deep-learning framework for 3D image
-
learning, and AI applications in radiology. The research area includes innovative work on developing Deep Learning Based Image reconstruction in CT on Photon Counting Detector CT with work in collaboration
-
prediction to process optimization. The focus of this PhD project is to develop and apply machine learning methods across three interconnected tasks: 3D microstructure characterisation. The student will
-
. Following an offer of employment, the successful applicant will enroll in the CBS PhD School. Further information about CBS PhD scholarships and the PhD programme can be found at https://www.cbs.dk/en
-
will design and validate advanced multi-agent Deep Reinforcement Learning (DRL) and/or Digital Twin (DT)-enabled methods for efficient, scalable and time-critical handover optimisation. The work will
-
curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic
-
multisensor fusion and ondevice AI pipelines that guarantee tight latency, power efficiency, and fail-safe robustness. Driving hardware–software codesign to radically optimize state estimation and deep-learning
-
application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision