111 web-programmer-developer-"https:"-"https:"-"https:"-"https:" positions at Stanford University
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this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development
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training. Oversee the planning, execution and integration of initiatives and activities related to SMCI operations and goals. Lead and/or collaborate in program management of SMCI operations including
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to lead and help grow a laboratory program, want to help shape the training of future scientists & clinicians, and desire to contribute to collaborative scientific investigation that will translate
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genomics and single-cell spatial transcriptomics, participate in T cell-targeted therapy development, hone their computational, leadership, communication, and funding acquisition skills, and join the vibrant
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(Administrative Associate 3) to provide administrative or operational support with limited supervision to 4-6 faculty and their program managers. Faculty will have varying levels of support needs ranging from
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50% 6 month fixed term As part of the new Stanford University Center for Definitive and Curative Medicine (CDCM), the Stem Cell and Gene Therapy Clinical Trials Program (SCGT-CTP) provides
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on determining mechanisms of the immune responses to blood coagulation proteins deficient in individuals with inherited bleeding disorders such as hemophilia to develop therapeutic strategies for antibody
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. Determine eligibility of and gather consent from study participants according to protocol. Assist in developing recruitment strategies. Coordinate collection of study specimens and processing. Collect and
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engraftment. They have developed multiple pre-clinical agents that enable safe and targeted HSC conditioning, several of which are turning into promising clinical therapies. They are now using these agents as
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-cell and spatial-omics research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic