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Michigan State University, DOE - Plant Research Laboratory

East Lansing, Michigan

University of Maryland, Plant Science & Landscape Architecture

College Park, Maryland

Institute of Plant and Microbial Biology, Academia Sinica

Taipei, Taiwan

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The Salk Institute for Biological Studies

La Jolla, California

Arizona Conservation Corps

Payson, Arizona

Arizona Conservation Corps

Payson, Arizona

American Conservation Experience

John Day , Oregon

American Conservation Experience

Martinez, California

American Conservation Experience

Palm Springs, California

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UES, Inc., A BlueHalo Company

Dayton, Ohio

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Field to Market: The Alliance for Sustainable Agriculture

Washington, D.C.

Tokyo University of Agriculture and Technology

Tokyo, Japan

City of Tacoma

Tacoma, Washington

Penn State Harrisburg

Middletown, Pennsylvania

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ElectriCities of NC

Lexington, North Carolina

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Confederated Tribes of the Umatilla Indian Reservation

Pendleton, Oregon

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Confederated Tribes of the Umatilla Indian Reservation (CTUIR)

Pendleton, Oregon

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Nanyang Technological University, Singapore

Singapore, Singapore

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Chelan PUD

Wenatchee, Washington

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Capital Power

Phoenix, Arizona

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City of Long Beach

Long Beach, California

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Samtec

New Albany, Indiana

Department of Ecology

Lacey - WA, Washington

WA State Dept. of Ecology

Lacey, Washington

National Library of Medicine

Bethesda, Maryland

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Postdoctoral Associate Position in Computational Genomics
The laboratory of Jihoon Kim at the Section of Biomedical Informatics and Data Science, Yale School of Medicine is seeking a computational genomics/bioinformatics postdoctoral associate. The research program in this lab focuses on computational genomics in application to human disease using registries and biobanks including All of Us Research Program, Million Veterans Program, and UK Biobank, either a single biobank or cross-biobanks using federated learning. Current research projects aim to identify genetic variants/genes associated with disease traits (susceptibility/treatment response/progression) toward personalized medicine and unravel disease pathogenesis through analyses of different types of omics data including but not limited to whole genome sequencing, messenger RNA-seq, cell


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