Machine Learning for Radio Interferometric Array Design

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Position: Internship/Stage
Deadline:  12/12/2024
Contact:

Ezequiel Centofanti, Samuel Farrens

Brief description: This project will focus on investigating the application of machine learning (ML) solutions for optimising antenna placement of radio interferometers for specific scientific objectives (point source and extended observation, transient detection, etc.).

Details about this position can be found here.

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Author: Ezequiel Centofanti

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