Postdoctoral Research Fellow in Generative Deep Learning for Dental Imaging

6 days ago


Århus, Århus Kommune, Denmark EFOMP Working Group Full time
Fully Financed PhD Fellowship - Generative Deep Learning in Dental Imaging

Job Description:

As a postdoctoral research fellow, you will work on the development of generative deep learning models in dental imaging.

The project aims to generate synthetic dental radiographs using state-of-the-art techniques. This addresses a major limitation in most AI studies involving imaging data, i.e., training data quantity and quality.

A potential solution lies in the use of synthetic data generated by generative DL models. As a concept, generative DL is highly interesting for clinical AI research as it can help overcome issues related to data sampling.

In this project, we focus on generating different types of realistic dental radiographs using dedicated deep learning models built from scratch. Relevant network types include Generative Adversarial Networks (GANs) and Latent Diffusion Models (LDM), notably Stable Diffusion.

Key Responsibilities:

  • Developing and implementing generative deep learning models for dental imaging
  • Generating synthetic dental radiographs using state-of-the-art techniques
  • Collaborating with researchers to advance knowledge in the field

Requirements:

  • PhD in a relevant field (e.g., computer science, engineering, or life sciences)
  • Experience with deep learning frameworks and programming languages (e.g., Python)
  • Strong understanding of machine learning concepts and algorithms

Benefits:

  • Full financing for 3 years
  • Collaborative research environment
  • Opportunities for professional growth and development

Estimated Salary:

Salary estimate based on industry standards: €45000 per year

Working at EFOMP Working Group:

We are committed to fostering a collaborative and inclusive research environment that encourages innovation and excellence.



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