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PricewaterhouseCoopers LLP

Dallas, Texas

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Meta Platforms, Inc. (Meta), formerly known as Facebook Inc.

San Francisco, California

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Johns Hopkins University

Baltimore, Maryland

Princeton University, Operations Research and Financial Engineering

Princeton, New Jersey

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IESE Business School

Spain

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NYU Tandon School of Engineering

Brooklyn, New York

Schulich School of Business, York University

Toronto, Ontario, Canada

Seattle Foundation Repair

Bellevue, Washington

New Jersey Institute of Technology

Newark , New Jersey

Smith School of Business at Queen's University

Kingston, Ontario, Canada

George Washington University

Washington, D.C.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc.

Austin, Texas

PricewaterhouseCoopers Advisory Services LLC

New York, New York

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc.

Menlo Park, California

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Dongbei University of Finance and Economics

China

Virginia Tech -- Virginia Polytechnic Institute

Blacksburg, Virginia

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UNLV Lee Business School

Las Vegas, Nevada

Virginia Tech -- Virginia Polytechnic Institute

Blacksburg, Virginia

Virginia Tech -- Virginia Polytechnic Institute

Blacksburg, Virginia

Virginia Tech -- Virginia Polytechnic Institute

Blacksburg, Virginia

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Assistant Professor of Quantitative Methods Krannert School of Management, Purdue University
The Krannert School of Management invites applicants for one tenure-track faculty position at the assistant professor level in the Quantitative Methods area to begin in the fall semester of 2022. Candidates for the position must have a doctorate in applied mathematics, computer science, economics, engineering, management science, operations research, statistics, or a closely related field. We welcome applicants from all research areas represented within the Quantitative Methods area. We especially encourage applicants with research interests in the disciplines of data science, such as machine learning, high-dimensional data analysis, network analytics and broad data analytics, both theoretically and computationally. Successful applicants are expected to have exceptional potential for le


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