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of the Oncogenic Transcriptional Networks Group within the Cancer Cell Biology (CCB) Department. The candidate should have expertise in cell line engineering technologies, molecular and protein biology methods, and
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on transcriptional and post-transcriptional regulation, RNA biology, and/or cell signaling and guide a small group. The individual selected for this position will have a strong record of innovative studies and proven
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across the biology, computational, and translational sciences to advance oncology therapeutics from concept to clinic. How You Will Achieve It Utilize experience and creativity in synthetic and medicinal
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administration as well as for the education of highly qualified young scientists. The Center for Structural Systems Biology (CSSB) is an international, interdisciplinary research center on the DESY campus where
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. The successful candidate must have experience programming, troubleshooting and supporting various types of laboratory equipment. A general understanding of biology is required. Key to the role is a demonstrated
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for this position. You will work collaboratively within the chemistry department and researchers across the biology, computational, and translational sciences. You will play a vital role as scientific leader and key
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projects with a focus on antibody-drug conjugates (ADC) that target oncogenic pathways and processes. You will work as a member of the ADC Biology team, performing a range of in vitro pharmacology and
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mammalian cell culture, molecular biology, large-scale mammalian cell expression, and protein production analysis for supporting protein therapeutics discovery efforts. The individual will perform
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National Institutes of Health/National Library of Medicine | Bethesda, Maryland | United States | about 1 month ago
: Computational Biology Branch (CBB) Application Period: Applications will be accepted May 14, 2024, until the position is filled. Overview: Seeking an exceptional candidate to conduct research in human
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, strain prediction based on genetics, structure, antigenic and relevant metadata. POSITION RESPONSIBILITIES Provide AI/ML and computational biology expertise to support Vaccine research & Development