Post-Doc in Artificial Intelligence for Breast Cancer Image Analysis
We are seeking a highly motivated and skilled Postdoctoral Researcher to join our team at the Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology in Stuttgart, Germany.
About the Project
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.
Qualifications
* 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.
* 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.
About the Team
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.
How to Apply
Please submit your application including motivation letter, CV, certificates and contact details of two academic references.