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Field
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or entropy coding; Knowledge of code optimization, parallel programming, and performance analysis, including computational complexity, throughput, latency, and memory management; Ability to work independently
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, environmental toxicology or a related field. A strong background in the analysis of organic contaminants, contaminants of emerging concern or complex chemical mixtures will be highly valued. Specific Requirements
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Intuition Systems is developing an AI-driven platform to integrate, curate, and analyze complex biological and clinical data relevant to the biotechnology sector. The postdoctoral fellow will play a central
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or strong interest in tumor immunology and/or cancer metabolism is highly desirable. Demonstrated ability to independently design, execute, and interpret complex in vitro and in vivo experiments. Working
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, organoids or tissue-engineered models. Experience with web-based software application to analyze, integrate, and interpret complex "omics" data Experience in handling and analysis of clinical samples/biopsies
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Background We are seeking to appoint a postdoctoral researcher to work on developing analysis approaches for low frequency observations of gravitational waves to improving our understanding of the formation
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characterize the role of nuclear pore complex machinery in mediating HIV-1 nuclear entry and subsequent downstream process that leads to productive viral gene integration. The goal of this position is to work
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. Ability to manage a complex program from start to finish with minimal supervision. Proficient in Microsoft suite, Google tools, Canva, Qualtrics, Salesforce, Zoom, Adobe suite, database and online
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experiments, and post-mortem tissue analysis. Collaborate on ex vivo retina calcium imaging experiments. Mentor graduate students and undergraduate researchers. Collaborate with other labs, and leading writing
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bioinformatics research focused on cancer epigenomics, gene expression, single-cell and spatial omics, and metabolomic data analysis. Develop computational tools, apply AI and machine learning approaches