Postdoctoral Researcher – Artificial Intelligence for Synthetic Data Generation in Biomedicine
hace 1 mes
We are seeking a highly skilled Postdoctoral Researcher to join our Machine Learning for Biomedical Research unit at the Barcelona Supercomputing Center (BSC). The successful candidate will work on 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.
The researcher will develop and implement systems for creating synthetic datasets, which will be pivotal for training and evaluation processes.
Applicants should possess a robust understanding of a broad spectrum of biomedical data and be proficient in deep learning techniques.
Familiarity with privacy-preserving AI and explainable AI (XAI) is preferred.
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.
- 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.
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