120 parallel-and-distributed-computing positions at St Jude Children's Research Hospital
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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing
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The Geeleher Lab tightly integrates wet-bench and computational approaches to improve outcomes for children with cancer, with a particular focus on neuroblastoma and other high-risk pediatric solid
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contribute to the growth of the Infectious Disease Translational Trials Center. She/He/They will share HIV Program clinical care responsibilities alongside other Division of HIV and Translational Medicine
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immune memory. We are seeking an outstanding investigator to lead an innovative research program in innate immune memory and its role in respiratory infections, environmental exposures, and asthma
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completion of a medical laboratory training program required . Master's degree in Clinical Lab Science or PhD preferred. Minimum Experience: 6+ years of medical laboratory experience . Experience Exceptions
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of behavior. Methods that incorporate quantitative analysis and computational modeling are also of strong interest. Applicants should be highly collaborative and committed to pursuing impactful applications
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physician or radiologist with subspecialty training in Nuclear Medicine, Molecular Imaging, and Theranostics to lead a dynamic program central to St. Jude's mission of advancing cures for children with cancer
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to operate equipment. Provide continued communication with client to ensure success of all events. Operate audio visual equipment including projectors, cameras, video switchers, audio mixers, computers, and
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-cell genomics Conduct innovative wet-lab research using patient-derived samples Perform molecular and cellular biology experiments related to tumor biology Collaborate with computational and clinical
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childhood cancer survivorship as a Faculty Member at the FULL, ASSOCIATE, or ASSISTANT level. We are looking for a scholar to apply state-of-the-art computational methods to extract insights from high