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Data Collection for Machine Learning Applications in Particle Accelerator Physics

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Job Description

The KIT institutes IBPT and AIFB are collaborating on applying ML methods, such as text mining and knowledge graphs, to extract useful information from existing scientific publications in accelerator physics. This will allow the visualization and easy exploration of this emerging interdisciplinary field through a web application, which could help unveil new research possibilities. We are looking for motivated students to assist us in this work!

More information is provided on the linked poster.

Job Type

Student Assistants / Tutors

Link PDF

Download (pdf)

Contact Person

Michael Färber

Research Group

Web Science

Closing Date for Applications

2022/05/15