68 phd-position-in-data-modeling-"Prof"-"Prof" Postdoctoral positions at Duke University
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, and contact information for three references. For further information on this position please contact Dr. Leanne Gilbertson (leanne.gilbertson@duke.edu). Duke is an Equal Opportunity Employer committed
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, neurobiological, and clinical data to develop and validate predictive models of psychiatric risk. Prepare manuscripts for peer-reviewed journals and present findings at national and international conferences
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Duke University, Biology Position ID: Duke-Biology-PD_DK [#30619] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America [map
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MD or PhD or equivalent degree and has interests in immunotherapy and/or hematopoietic stem cell transplantation using mouse animal models. The research involves understanding the mechanisms underlying
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Duke University, Biology Position ID: Duke-Biology-PD_JL [#30614] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America [map
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new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks
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Immunology, Data Science and/or related fields. MD/PhD with molecular biology research experience. Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics
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associate will design and implement experiments, collect and analyze data, and summarize the study as presentations andmanuscripts. DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent doctorate
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associate will design and implement experiments, collect and analyze data, and summarize the study as presentations andmanuscripts. DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent doctorate
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Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), and