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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 Role
- The ideal candidate will have a strong background in computational biology, bioinformatics, computer science, or related fields.
- They will be responsible for developing novel computational approaches, analyzing large-scale multi-omics datasets, and contributing to research with direct relevance to human health.
- The position provides an excellent opportunity to advance your career in cancer data science, deep learning, and systems biology.
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.
Required Skills and Qualifications
- PhD degree in computational biology, bioinformatics, computer science, biostatistics, cancer genomics, network science, or related fields.
- Strong analytical and problem-solving skills.
- Proficiency in programming languages such as Python, R, or MATLAB.
- Experience with high-performance computing and GPU acceleration tools.
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
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