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Emma Pierson

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Postdoc and PhD Opportunities in Long-Term AI Use Study University of California, Berkeley in United States

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Funding and positions are available, including postdocs, PhD positions, visiting researcher opportunities, and Transluce affiliations. The post indicates the opportunity is funded but does not specify stipend, tuition, or salary details.

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Country

United States

University

University of California, Berkeley

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Keywords

Computer Science
Sociology
Psychology
Artificial Intelligence
Salud Pública
Income Distribution
Statistics
Salud
ML

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About this position

Emma Pierson is looking for postdocs and PhD students to help lead a large-scale study of the effects of long-term AI use, in collaboration with Berkeley, TransluceAI, and others.

The opportunity appears to be connected to machine learning / artificial intelligence research with possible links to health and inequality, consistent with the poster’s broader research profile in ML methods for studying health and inequality.

Funding and positions are available, including postdocs, visiting researchers, and Transluce affiliations. The post does not provide stipend, salary, tuition, or visa details.

No deadline is listed, but the poster says this is a fast-moving project and recommends applying sooner rather than later.

How to apply: use the Google Form in the next tweet. The application link is shared directly in the thread.

Funding details

Funding and positions are available, including postdocs, PhD positions, visiting researcher opportunities, and Transluce affiliations. The post indicates the opportunity is funded but does not specify stipend, tuition, or salary details.

What's required

Looking for postdocs and PhD students to help lead a large-scale study of the effects of long-term AI use. The post does not specify degree prerequisites, technical skills, or language requirements beyond being suitable for postdoctoral researchers, PhD applicants, or visiting researchers.

How to apply

Apply through the Google Form linked in the next tweet. The poster recommends applying sooner rather than later because the project is fast-moving.

More information can be found here

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