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of Living Systems. The ability to teach molecular, cell and/or tissue-level biology would be considered an advantage. Successful candidates will be of the highest calibre, can demonstrate an exceptional track
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. The postdoctoral fellow will test research hypotheses in rodent traumatic brain injury models and cell cultures, primarily utilizing molecular, cell biology, and behavioral techniques. The laboratory of Dr. Gao
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background in computational biology, modeling or Machine Learning and Artificial Intelligence Familiarity with basic techniques and principles in cell and molecular biology and biochemistry Willing to learn
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neurodegenerative diseases, with a specific focus on immune cell exhaustion and immunosenescence in the peripheral immune system. Our long-term research mission is to leverage such mechanisms to develop more
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our laboratory focused on how oxidative stress modifies epithelial and immune cell interactions in esophageal inflammation and cancer. Dr. Yash Choksi’s laboratory, located in Nashville, Tennessee
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computational pipelines for multiplex imaging, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 10 days ago
and heterogeneity of stem cell-derived cellular products. Learning Objectives: By joining this research project you will have the opportunity to: Develop skills in pluripotent stem cell expansion and
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single cell methods preferred. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn
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Antibiotic testing is still defined by bulk growth inhibition measurements. We aim to replace this paradigm by quantifying antibiotic action at single-cell resolution. The scientific aim Our
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, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune microenvironment architecture. Collaborate with wet lab