107 web-programmer-developer-"https:"-"https:"-"https:"-"https:" positions at City of Hope
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visit here . If you are passionate about some of the following things, we are working on this may be the perfect opportunity: · Development of cell-free DNA (mutation and methylation), RNA, and
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, pancreatic, and gastric cancers. Some of the key research topics in our laboratory include: Developing ctDNA and cfRNA-based liquid biopsy biomarkers for cancer diagnosis, prognosis, and predictive responses
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analyze data obtained from work performed. Independently evaluate research data and initiate alternative approaches to improve the quality of results by providing input to overall research design. Train lab
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resistance in colorectal cancer, using state-of-the-art spatial and molecular platforms. This position provides an exceptional opportunity to develop hands-on skills in both clinical sample handling and
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into the development and application of effective novel therapeutic strategies to treat cancers in the clinic. For more information about Dr. Chen’s lab, please visit here. As a successful candidate, you will: Assist
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for unsatisfactory results. · Accurately record work, calculate, compile, and analyze data. · Evaluate research data and suggest improvements, train staff in specialized procedures and concepts
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, ordering supplies, and assisting with procedure development. This position plays a key role in supporting departmental and medical center objectives within a fast-paced, acute care environment. As a
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tools to identify novel signaling pathways to develop new targets for drug discovery. Our research interests include: 1) Liver-gut and microbiota crosstalk as metabolic mediators in regulating both normal
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of energy additivity and multivalency in macromolecular complexes and use these properties to develop new tools and novel therapeutics. As a successful candidate, you will: · Determine structure of
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technologies and collaborating with the strongest of partners, we can develop better tools to increase our understanding of complex diseases and to better predict which treatments might be most effective, i.e