20 beste Stellen als researcher (m/f/d) in bayern – aktuell auf Personalsuche

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- Flexible Arbeitszeiten
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Senior Energy Data Analyst (d/f/m)
Flexa —München
- 85.000 € – 110.000 € pro Jahr
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AI Automation Engineer (m/f/d)
SanaExpert GmbH —München
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PhD Student in Immunology (f/m/d)
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TWT Science & Innovation —München
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Postdoc position in CAR T-cell Engineering for Immunotherapy in Cardiovascular Inflammation (m/f/d)
Universitätsklinikum Würzburg —Würzburg
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Content Licensing/Acquisition Manager (m/f/d)
Elsevier —München
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RELX —München
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Postdoctoral Researcher (m/f/d)

Universitätsklinikum Würzburg -
Würzburg

Jetzt bewerben

Details zur Stelle

Leistungen

Firmenfahrrad-Leasing

Qualifikationen

Doktorat
Informatik
PyTorch
Machine Learning
Deep learning
Python

Vollständige Stellenbeschreibung

Application deadline: 15/07/2026

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The University Hospital Würzburg offers you the opportunity to actively contribute to the DFG-funded project "Artificial intelligence assisted diagnosis of giant cell arteritis".

Giant cell arteritis (GCA) is a systemic vasculitis that can lead to severe complications including vision loss and stroke if left untreated. This project aims to develop a machine learning-driven automatic diagnostic tool to robustly detect and evaluate GCA in magnetic resonance images, thereby enhancing diagnostic accuracy and preventing GCA-related complications.

The University Hospital Würzburg, Institute of Diagnostic and Interventional Radiology (Prof. Dr. Tobias Wech), is seeking to fill the position of a Postdoctoral Researcher (m/f/d, E13, 100%) for this exciting project at the earliest possible date.

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We offer
The opportunity to work in an innovative, multidisciplinary DFG-funded research project with high clinical impact

The chance to develop cutting-edge AI methods for a clinically relevant application

Access to unique multi-center GCA MRI datasets and state-of-the-art computational resources

Presentation of your research at prestigious international conferences

A multidisciplinary team environment with experts in radiology, rheumatology, and AI

A stimulating academic environment with opportunities for further qualification

Attractive remuneration according to TV-L E13 (100%) including annual bonus
Your Tasks
Development and implementation of machine learning algorithms for automated detection and segmentation of GCA in MRI scans
Pre-processing of multi-center GCA MRI datasets (2D T1-weighted and 3D CS-SPACE sequences) using super-resolution models and brain stripping
Training and evaluation of neural networks for semantic segmentation to identify inflamed vessels in extra-cranial arteries
Development of quantitative imaging biomarkers (e.g., vessel wall thickness, volume of inflamed segments) for disease activity assessment
Validation of methods using multi-center datasets from collaborating GCA centers (Freiburg, Ludwigshafen, Aarau)
Collaboration with clinical partners to ensure clinical relevance and applicability of developed tools
Publication of results
Presentation of research findings at international scientific conferences (e.g., ISMRM, RSNA, ECR)
Supervision of PhD students and technical staff

Project Background

Giant cell arteritis (GCA) is a systemic vasculitis primarily characterized by inflammation of medium and large vessels, with a predilection for superficial cranial arteries (temporal, ophthalmic) and large intrathoracic vessels. If left untreated, GCA can lead to severe complications including vision loss, stroke, aortic aneurysms, or dissection.

While MRI has emerged as a pivotal technique for comprehensive GCA imaging, interpretation of advanced imaging protocols remains challenging. This project addresses these challenges by developing AI-driven automatic diagnosis to enhance diagnostic accuracy, efficiency, and standardization.

Building on a decade of GCA research and a unique data archive, we aim to create a machine learning-driven diagnostic tool that can be distributed free-of-charge to non-GCA centers, ensuring wide accessibility and improving patient outcomes worldwide.

Your Profile
Completed PhD in Computer Science, Medical Engineering, Physics, Biomedical Engineering, or a related field
Strong background in machine learning and deep learning, particularly for image analysis
Extensive experience with Python and relevant ML frameworks (e.g. PyTorch)
Experience with MRI data processing and medical image analysis
Knowledge of semantic segmentation and computer vision techniques
Proven track record of scientific publications in peer-reviewed journals
Experience with multi-center dataset handling and data harmonization is a plus
Excellent written and spoken English
Strong problem-solving skills and independent working style
Ability to work in an interdisciplinary team environment
This is what you can look forward to
Challenging, diverse and evolving area of responsibility
Attractive salary according to TV-L incl. annual special payment
Training and Continuing Education
Retirement Pension Plan
Company daycare center with extended opening hours
Company sports program
Flexible Working Hours
JobBike
Corporate Benefits
Become part of the team: Apply now!
Prof. Dr. Tobias Wech
Professor für Experimentelle Radiologie
Tel: +49931 201 46356

In the case of a university degree from a non-EU country, a long version of the certificate evaluation from the Central Office for Foreign Education is required.

Remuneration is in accordance with the relevant collective agreements. Severely disabled applicants will be given preference if they are otherwise equally qualified.

Jetzt bewerben

Erweiterte Suche

researcher (m/f/d) Jobs in bayern

Postdoctoral Researcher (m/f/d)

Staff Quantitative Researcher – Energy Trading (f/d/m)

Bioinformatics Researcher – Computational Immunology (m/f/d)

Postdoctoral Researcher for MSCA (m/f/d)

Scientific Coordinator (m/f/d)

PhD student or Postdoctoral Researcher (m/f/d)

5 Research Positions for Doctoral Researchers and Postdoctoral Researchers (m/f/d) - Department DHSS

Senior QA Engineer (m/f/d)

Research Manager AI & Data, Simulation and Quantum (m/f/d)

Senior Energy Data Analyst (d/f/m)

AI Automation Engineer (m/f/d)

PhD Student in Immunology (f/m/d)

Expert AI & Engineering (m/f/d)

Project Manager AI & Engineering (m/f/d)

Senior Product Analyst (m/f/d)

Lab Manager (m/f/d) Chemspace

Postdoc position in CAR T-cell Engineering for Immunotherapy in Cardiovascular Inflammation (m/f/d)

Content Licensing/Acquisition Manager (m/f/d)

Content Licensing/Acquisition Manager (m/f/d)

Physicist (f/m/d) for Scientific Research & Development in Electron and Particle Beam Technology

Ich möchte aktuelle Job-E-Mails für Stellen als researcher (m/f/d) in bayern erhalten

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