57 programming-"the"-"DAAD"-"EURAXESS"-"Prof"-"UCL"-"U"-"IMPRS-ML" positions at City of Hope
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for Cancer and Aging is led by Dr. William Dale and is housed within the Supportive Care Research and Training Division. Our research program focuses on studies related to cancer and aging, exploring
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standardization. Utilize rounding boards and staff huddles to support Organizational and CTO goals. Build and sustain relationships with internal and external stakeholders. Support the strategic plan
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.). Fluency in programming languages such as Python, R, Matlab, Perl; MySQL. Experience working with UNIX/Linux environment. Experience in nucleic acid isolation and sequencing library preparation. Familiarity
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in cutting-edge technology, immunotherapeutic programs, and a commitment to delivering innovative solutions to critical illnesses. For more information on T Cell Therapeutics research, please visit
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Aging is led by Dr. William Dale and is housed within the Supportive Care Research and Training Division. Our research program focuses on studies related to cancer and aging, exploring the unique issues
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programs or institutional core laboratories. Individuals appointed as staff scientists will receive a one-year fixed-term contract. As a successful candidate, you will: Conduct binding assays, protein
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and validate experimental plan, methods, and results for accuracy and completeness. Develop new laboratory methods and help refine existing methodologies. Your qualifications should include
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co-receptors. · Program our HTS robotics platform to interrogate small-molecule libraries; triage hits, coordinate SAR follow-up, and shepherd hit-to-lead evolutions. · Express and
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and/or interns. Specific duties of the Research Associate include: 1. Plan, prepare, execute, and troubleshoot designed experiments, including data collection & analysis, evaluating/interpreting
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an active research program focused on epigenetics, RNA and chromatin biology and endothelial stress response. Her team integrates innovative high-throughput sequencing technologies, bioinformatics approaches