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Texas A&M University

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Postdoctoral Research Associate in Dark Matter, Neutrinos, Gamma Rays, and New Physics Texas A&M University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Salary is commensurate. The position is funded by grant and/or contract funding and is contingent on continuation of that funding as well as satisfactory job performance.

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Country

United States

University

Texas A&M University

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Keywords

Computer Science
Particle Physics
Astronomy
Neutrino Physics
Dark Matter
Astroparticle Physics
New Physics
Statistics
Physics
ML

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About this position

Texas A&M University is advertising a Postdoctoral Research Associate position in the Department of Physics and Astronomy at College Station, Texas, United States.

The role focuses on research projects in dark matter, neutrinos, gamma rays, and searches for new physics using astroparticle and terrestrial data. The successful candidate will contribute to peer-reviewed publications, present results at conferences, organize workshops and seminars, and mentor graduate and undergraduate students.

Eligibility highlights: a PhD in Physics is required. Preferred experience includes understanding current open questions in particle physics and prior work with modern tools and machine learning.

Funding: the position is funded by grant and/or contract funding and is contingent on continuation of that funding and satisfactory performance. Salary is listed as commensurate.

How to apply: use the Apply button on the Workday posting. A cover letter and resume are strongly recommended and may be uploaded with the application.

Funding details

Salary is commensurate. The position is funded by grant and/or contract funding and is contingent on continuation of that funding as well as satisfactory job performance.

What's required

PhD in Physics is required. A well-qualified candidate should also have an understanding of current open questions in particle physics, including searches for new physics, and prior experience with modern tools and machine learning is beneficial.

How to apply

Select the Apply button on the Workday job page to begin the application. A cover letter and resume are strongly recommended and can be uploaded with the application.

More information can be found here

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