You analyze histopathology data and develop machine learning models to improve breast cancer diagnosis, collaborating with biomedical partners to enhance research outcomes.
Anforderungen
- •PhD in bioinformatics or equivalent
- •Strong background in AI-driven image analysis
- •Proficiency in Python programming
- •Experience with deep learning frameworks
- •Solid publication record
- •Experience with whole-slide images
- •Proficiency in Unix/Linux systems
- •Excellent communication skills
- •Fluency in English
- •Interest in interdisciplinary research
- •Knowledge of cancer biology
Deine Aufgaben
- •Analyze large-scale histopathology datasets.
- •Develop machine learning models for biomarker discovery.
- •Use cancer cell morphology to predict subtypes and treatment response.
- •Collaborate with national and international biomedical partners.
Deine Vorteile
Dynamic collaborative environment
Access to computational resources
Opportunities to publish research
Highly motivated interdisciplinary team
Original Beschreibung
## Job Description
The project involves analyzing large-scale histopathology datasets from breast cancer tissue and developing machine learning models for image-based biomarker discovery. This position offers a unique opportunity to work at the intersection of computational pathology, artificial intelligence (AI), and oncology, contributing to clinical cancer research through advanced computer vision applied to exclusive image datasets.
We aim to use cancer cell morphology and nuclear features in tissue slides to predict breast cancer (molecular) subtypes, prognosis and treatment response. This work is carried out in close collaboration with our outstanding national and international biomedical partners.
## Qualifications
The ideal candidate will have a PhD or equivalent in bioinformatics, with expertise in various methods of artificial intelligence and data science. A strong background in AI-driven image analysis, proficiency in Python programming including deep learning frameworks such as PyTorch and TensorFlow, and a solid publication record are required. Additional desirable qualifications include:
* Experience in working with whole-slide images in histopathology
* Proficiency in working with Unix/Linux Systems
* Excellent communication skills and fluency in English
* Interest in interdisciplinary research
* Knowledge of cancer biology
## Additional Information
**We offer:**
* A dynamic and collaborative environment focused on the clinical application of new biological insights
* Access to state-of-the-art computational resources and unique, high-quality histopathology datasets
* Opportunities to publish in top-tier journals and engage in international research collaborations
* A highly motivated interdisciplinary team
The position is available immediately.
The Dr. Margarete Fischer-Bosch-Institute for Clinical Pharmacology seeks to raise the number of women in research and teaching and therefore urges qualified women academics to apply for these positions. Equally qualified applicants with disabilities will be given preference.
Wir schätzen die Einzigartigkeit und Unterschiedlichkeit unserer Mitarbeitenden und fördern ein Arbeitsumfeld, das unabhängig von Alter, Geschlecht, sexueller Identität, Behinderung, Herkunft oder Religion gleiche Chancen ermöglicht.