Postdoctoral in Machine Learning for Cancer: The International School of Advanced Studies (SISSA) in Trieste invites applications for a 2-year renewable postdoctoral position in machine learning applied to hematological cancer data. The position is part of a collaborative project with Humanitas University Hospital in Milan and the University of Bologna, supported by a grant from the Italian cancer research charity, AIRC. The research involves integrating diverse data types (clinical, genomic, transcriptomic, and epigenomic) to aid clinical decision-making, especially in data-poor situations. The approach combines Bayesian methods and advanced machine learning techniques, including Graph Neural Networks (GNNs) and Variational Autoencoders (VAEs).
Postdoctoral Researcher in Machine Learning for Cancer
Designation: Postdoctoral Researcher
Research Area: Machine Learning for Cancer
Location: SISSA, Trieste
Eligibility/Qualification:
- Ph.D. in a relevant field
- Knowledge of statistical/machine learning methods applied in a scientific context
- Desirable: Familiarity with bioinformatics methods for sequencing data
Job Description: The selected candidate will:
- Work on machine learning applications for hematological cancer data
- Integrate diverse data types for clinical decision support
- Utilize Bayesian methods and advanced ML techniques, including GNNs and VAEs
- Collaborate with Humanitas University Hospital in Milan and the University of Bologna
- Contribute to the project funded by AIRC
How to Apply: Interested candidates can apply through the official SISSA application portal. For inquiries, please contact the provided email address before submitting the application.
Last Date for Apply: 27th February 2024
Disclaimer: This post is sourced from a reliable channel. Applicants are advised to verify details on the official website or contact the provided information for further information.
