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Tulane University
The Physics and Engineering Physics Department at Tulane University and Los Alamos National Laboratory are seeking a postdoctoral researcher to apply first-principles density functional theory and machine learning techniques for the discovery of novel 2D d-electron materials. The role involves developing TDDFT models for magnonic excitations, creating computational workflows, and collaborating with a team of condensed matter theory and experimental scientists. This position aims to unravel fundamental properties of these systems to establish new routes for quantum information devices.
Headquarters
New Orleans, Louisiana, United States
Company Size
1001-5000 employees
Founded
1834
Tulane University is a comprehensive research university in New Orleans, Louisiana, offering undergraduate, graduate, and professional programs across a range of disciplines. The university emphasizes interdisciplinary research, experiential learning, and civic engagement, with faculty and students partnering locally and globally to tackle pressing challenges. Tulanians see challenges as opportunities and strive to improve lives through education, research, and public service. Its vibrant campus and deep ties to the New Orleans community support strong student development and alumni networks.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Tulane University.
Tulane University didn’t post a salary, so this is our estimate from similar listings.
17% above the average for this role
Postdoctoral Position in Computational Materials Physics
tulaneuniversityschoolofmedicine.com
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