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Postdoctoral Project Research Scientist – [C Swanton] Cancer Evolution and Genome Instability Labora
Job Title: Postdoctoral Project Research Scientist – [C Swanton] Cancer Evolution and Genome Instability Laboratory Details of the role: Reporting to: Charles Swanton, Principal Investigator, Deputy
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project. Developing and disseminating communications regarding the program or project. Resolving program-related and/or project related issues. Maintaining and tracking project timelines and deliverables
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We are seeking a highly skilled and detail-oriented Compliance Program Administrator with a strong background in hospital billing compliance to join our Healthcare Compliance team. The ideal
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leverages the exceptional research infrastructure at St. Jude to train top-tier postdoctoral fellows with the necessary skills to lead independent research programs. Hematological malignancies are the most
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development scientist to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC CMM researchers with drug discovery
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pivotal role in leading program and project delivery, advancing our clinical trial pipeline by driving cross-functional clinical development programs, and ensuring operational excellence. This role will
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truly meaningful.“ Get to know us Benefits Career Development: Postdoc program, scientific training & career center with tailored offers Scientific Resources: State-of-the-art infrastruture and Core
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researchers are committed to foundational science, uncovering the principles that shape how the brain develops, functions, and recovers. With more than 50 labs, the Zuckerman Institute serves as a hub for
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mitigation, and deliverables, including protocol development, study monitoring, data review, and analysis. Collaborate closely with Research counterparts to ensure smooth program transition from discovery
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learning projects. The Scientific Program Manager will work in a complex, multi-team effort to steer and coordinate development of next-generation machine learning models for biomolecular structure