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team integrates innovative high-throughput sequencing technologies, bioinformatics approaches, and multi-scale models to elucidate RNA-mediated endothelial biology in the context of diabetes. In parallel
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scientists. Through our disease-focused clinics we offer an inter-disciplinarily approach to patient care that provides access to the most current therapies and to the resources of the University. In parallel
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. Skills: Analytical Thinking, Artificial Intelligence (AI), Big Data Processing, Bioinformatics Tools, Communication, Complex Data Analysis, Computational Biology, Critical Reasoning, Data Management
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. Skills: Analytical Thinking, Big Data Processing, Bioinformatics Tools, Communication, Complex Data Analysis, Computational Biology, Critical Reasoning, Data Management, Discrete Mathematics, Group
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processing and management, parallel programming, computational tool/pipeline development, supercomputing, and/or cloud computing. o Experience in microbiome and system biology studies related to
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the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Analytical Thinking, Big Data Processing, Bioinformatics Tools, Communication
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mass spectrometer. In parallel, you will lead the development and application of mass spectrometry-based spatial phosphoproteomics workflows for the analysis of formalin-fixed paraffin-embedded (FFPE
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novel animal models to conduct mechanistic studies with parallel patient sample analysis, and test preclinical innovative immunotherapy strategies with CAR T cells, stereotactic radiation, and mouse
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Albert Einstein College of Medicine (Bronx, NY) | New York City, New York | United States | about 20 hours ago
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elsewhere in the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Analytical Thinking, Big Data Processing, Bioinformatics Tools