Expert in Generative Space-Time Modeling for Pediatric Oncology

Vor 3 Tagen

Bern, Bern, Schweiz TN Switzerland Vollzeit

The Faculty of Medicine at the University of Bern invites applications for a Postdoctoral Fellow position in Generative Space-Time Modeling for Pediatric Oncology. As part of the new Center for AI in Radiation Oncology (CAIRO), you will be working on an exciting project that combines medical imaging, machine learning, and clinical oncology to improve patient care.

Research Focus:
  • Developing generative space-time models for predicting tumor growth and response to radiotherapy in pediatric patients with diffuse midline glioma (DMG).
About the Project:

This role offers an opportunity to address critical challenges in understanding and managing a rare and fatal brain tumor while advancing methods for personalized treatment. By leveraging state-of-the-art machine learning approaches and clinical data, this project aims to improve patient outcomes and provide a foundation for future research into pediatric precision oncology.

Your Responsibilities:
  • Investigate and implement Denoising Diffusion Implicit Models (DDIM) for generating anatomical tumor images based on MRI data.
  • Develop a space-time generative model to predict tumor growth trajectories from synthetic longitudinal MRI data.
  • Integrate mechanistic mathematical models to guide generative models toward clinically relevant tumor growth predictions.
  • Train models using a unique dataset of longitudinal multi-contrast MRIs and clinical data from DMG patients.
  • Evaluate model performance using Response Assessment in Pediatric Neuro Oncology (RAPNO) criteria, tumor segmentations, and growth probability maps.
Qualifications:
  • PhD in computer science, biomedical engineering, or a related field with a strong focus on machine learning or computer vision.
  • Expertise in generative modeling (e.g., diffusion models) and experience working with medical imaging data.
  • Some background in mechanistic mathematical modeling is a plus.
  • Strong programming skills, particularly in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
We Offer:

A 2-year Postdoc position at the Faculty of Medicine of the University of Bern, offering access to high-quality datasets, collaboration with leading international DMG treatment centers, competitive salary, funding for professional development opportunities, and more.

Please submit your CV, a cover letter outlining your research interests, qualifications, and motivation for the position.

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