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Postdoctoral Researcher – Artificial Intelligence For Synthetic Data Generation In Biomedicine

hace 1 mes


Barcelona, Barcelona, España Barcelona Supercomputing Center (Bsc) A tiempo completo
Job Title: Postdoctoral Researcher – Artificial Intelligence For Synthetic Data Generation In Biomedicine

The Barcelona Supercomputing Center (BSC) is seeking a highly skilled Postdoctoral Researcher to join our Machine Learning for Biomedical Research unit. As a Postdoctoral Researcher, you will play a key role in employing Artificial Intelligence (AI) techniques to synthesize various types of biomedical data.

Synthetic data generation in biomedicine involves creating artificial datasets that mimic real biological data, which is crucial for enhancing privacy protection, increasing data availability, and facilitating more robust research and development.

You will collaborate extensively with senior researchers within the Life Sciences Department and other research groups at the BSC to develop and implement systems for creating synthetic datasets, which will be pivotal for training and evaluation processes.

Key Responsibilities:

  • Develop computational solutions for the generation of synthetic instances of biomedical data.
  • Implement state-of-the-art generative models, such as Transformers, Diffusion models, Variational Autoencoders (VAE), Generative Adversarial Networks (GAN).
  • Interact efficiently with the HPC environment of the Barcelona Supercomputing Center.
  • Explore the application of explainability to the required tasks.
  • Demonstrate skills in scientific communication.
  • Establish and maintain collaborations with national and international researchers in healthcare and biomedical research.

Requirements:

  • PhD in computer science or bioinformatics with a strong AI component.
  • Alternatively, an MSc in AI or Bioinformatics with a strong computer science or applied mathematics background.
  • Essential Knowledge and Professional Experience:
    • Experience in AI methodologies, specifically biomedical data analysis.
    • Proficiency in deep learning frameworks (PyTorch, TensorFlow).
    • Interest in the life sciences area.
  • Additional Knowledge and Professional Experience:
    • Experience in synthetic data generation.
    • Knowledge of life sciences research.
    • Experience in machine learning and data science.

What We Offer:

  • Full-time contract (37.5h/week) with a good working environment.
  • Open-ended contract linked to project and budget duration.
  • Competitive salary based on qualifications and experience.

How to Apply:

Please submit your application through the BSC website, including a full CV in English and a Cover Letter with a statement of interest in English, including two contacts for further references.