98 web-programmer-developer-"https:"-"UCL"-"https:"-"https:"-"https:" positions at Stanford University
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around developing an improved understanding and treatments for various diseases with a focus on Fanconi Anemia (a grievous genetic bone marrow failure and cancer predisposition syndrome). This individual
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University is one of the world's leading teaching and research universities. Founded in 1891, Stanford’s mission is to create and share knowledge and to prepare students to be curious, to think critically, and
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gastroenterologists with nationally recognized expertise through their research, teaching, and clinical programs which attracts leading candidates to their fellowship program. We have a mission of healing children
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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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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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laboratory of Stephen Skirboll, MD and Albert Wong, MD, in the Department of Neurosurgery at Stanford University School of Medicine and the VA Palo Alto. We are interested in developing immunotherapies
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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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. 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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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 disease. Key