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4 days ago
We are seeking a highly motivated and experienced researcher to join our team as a Postdoctoral Researcher in the field of cancer data science.
The position is part of the Cancer Data Science group led by Mariike Kuijjer at iCAN Flagship in Digital Precision Cancer Medicine, Department of Biochemistry and Developmental Biology, at the Faculty of Medicine, University of Helsinki.
The project will focus on using and extending deep learning-based approaches developed within the group to integrate bulk multi-omics cancer data.
About the Project
- The project aims to implement a hierarchical Variational Autoencoder (VAE) framework to integrate bulk multi-omics cancer data.
- The framework incorporates biological data dependencies to model variability at both joint and data type-specific levels.
- The research will leverage a large in-house dataset from iCAN, complemented by publicly available data.
Key Responsibilities
- Develop and maintain computational tools for biological data analysis.
- Analyze large-scale multi-omics datasets using deep learning frameworks such as TensorFlow or PyTorch.
- Contribute to the development of novel computational approaches for integrating bulk multi-omics cancer data.
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