Publisher
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Daniel Whiteson

5 days ago

Postdoc in High Energy Physics and Machine Learning University of California, Irvine in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoc position; funding details, stipend, and duration are not specified in the post.

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Country

United States

University

University of California, Irvine

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Keywords

Computer Science
High-energy Physics
Statistics
Physics
ML
Postdoc pos

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About this position

Daniel Whiteson, Physics Professor at the University of California, Irvine, is hiring a postdoc at the intersection of high energy physics and machine learning.

This opportunity is aimed at a researcher who wants a high degree of independence and creativity while contributing to work that could help discover the next big thing in physics. The post is framed as a postdoctoral opening rather than a scholarship or studentship.

Research areas: high energy physics, machine learning, physics-informed data analysis, computational methods.

Institution: University of California, Irvine, United States.

Eligibility highlights: postdoc-level applicants with interest in HEP and ML; no additional formal requirements are listed in the post.

How to apply: use the application portal linked by the poster. Check the portal for the full call, documents, and any deadline information.

Funding details

Postdoc position; funding details, stipend, and duration are not specified in the post.

What's required

Applicants should be interested in high energy physics and machine learning. The post emphasizes independence and creativity; no other formal requirements are stated.

How to apply

Apply through the application portal linked in the post. Review the portal for full application instructions and required materials.

More information can be found here

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