3,105 phd-position-in-data-modeling-"Prof"-"Prof" Postdoctoral positions in United States
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not yet been filled. Position description The Department of Geography, at the University of California, Santa Barbara and Center for Spatial Studies and Data Science seeks to hire a qualified candidate
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or PhD in relevant field Experience: No prior experience required Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | 18 days ago
. For further information regarding the position, please contact Dr. Noah Kurinsky (kurinsky@slac.stanford.edu ) or Dr. Shannon Harvey (spharvey@slac.stanford.edu ). Application Materials Required: Further Info
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Internal Number: JR90686 Position Summary This position will focus on integrating high-resolution field monitoring, remote sensing, and statistical and numerical modeling approaches to improve predictive
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Summary Two postdoctoral fellow positions are immediately available in the laboratory of Dr. Shengyi (Iris) Sun, an assistant professor at the Center for Molecular Medicine and Genetics
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computational and systems biology approaches to analysis of single-cell RNA-sequencing data. These datasets derive from samples of human lungs, and also from mouse models of airway injury, inflammation and
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influence placental physiology, fetal development and long-term health outcomes. The successful candidate will join a dedicated research team conducting translational studies using animal models, human tissue
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Johns Hopkins University, Physics and Astronomy Position ID: JHU-Physics-POSTDOC [#29034] Position Title: Position Type: Postdoctoral Position Location: Baltimore, Maryland 21218
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Posted on Mon, 02/24/2025 - 12:56 Important Info Deprecated / Faculty Sponsor (Last, First Name): Plevritis, Sylvia Stanford Departments and Centers: Biomedical Data Sciences Postdoc Appointment
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responsibilities for this position include the development of computational models to simulate scintillator properties using time-dependent density functional theory and Monte Carlo methods, analysis and