15 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Postdoctoral positions at University of Maryland, Baltimore in United States
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) and genetics data which are measured by longitudinally and cross-sectionally. • Developing and applying machine learning and AI approaches to identify interactive topological relationships
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in T cell-based immunotherapy (it might include CAR T cells), including studies on in vitro T cell-cancer cell interactions demonstrated by the first authorship in a peer-reviewed publication. While
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to Dr. Miroslaw Janowski at Miroslaw.janowski@som.umaryland.edu . In addition, you must upload your application through Taleo : https://umb.taleo.net/careersection/jobdetail.ftl?job=240001FZ&lang=en
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. Educational excellence abounds, as do family-friendly neighborhoods and urban living options. Visit us online at www.ummsphysician.jobs to learn more. Qualifications Qualifications The successful candidate
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cross-sectionally. * Developing and applying machine learning and AI approaches to identify interactive topological relationships between various imaging modalities and multi-omics during aging and
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below: https://www.medschool.umaryland.edu/profiles/Wang-Ze/ Contact information: Faculty: Ze Wang, Ph.D. Title: Associate Professor Department of Diagnostic Radiology and Nuclear Medicine E-mail: Ze.Wang
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Transduction. JCI Insight . 2019 Jun 6;4(11). Applicants should submit their curriculum vitae and two references or letters of reference to akrupnick@som.umaryland.edu as well as apply to: https
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University, University of Maryland School of Engineering at college park offers ample opportunity for productive collaborations. More information about the PI could be found here: https
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about the CVD can be found at: http://medschool.umaryland.edu/CVD/ . The UM is an affirmative action/equal opportunity employer. Job : Postdoctoral Fellows Organization : School of Medicine - Centers
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positions: Qualifications 1. Computational Biology & Data Integration Using multi-omics microbiome analysis, single-cell transcriptomics, and machine learning–based biomarker prediction models, this project