654 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" positions at Nature Careers in United States
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or independent) in sickle cell disease and to care for individuals with sickle cell disease. As a fellow in our Sickle Cell Disease program, you will be immersed in a multidisciplinary multi-institution clinical
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first-class benefits package includes medical, dental and life insurance plans, retirement plan options, employee and dependent tuition programs, generous leave, and hundreds of employee perks and
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biologists, computational and medicinal chemists. Projects will focus on advancing cutting-edge drug discovery programs for childhood catastrophic diseases using the latest approaches in proximity-based
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Implementation Design, plan, and execute mass spectrometry imaging (MSI) experiments and/or LC/MS-based lipidomics and metabolomics studies Prepare samples, set up instrumentation, and ensure adherence
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-edge research with outstanding, long-term institutional support and exceptional core facilities in an environment of open collaboration. Successful applicants will present a vibrant research program with
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global clinical studies. The individual will harmonize processes and provide start-up expertise to assigned studies and programs, ensuring study teams meet or exceed Final Protocol to First Patient In
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operational insight. Provides statistical support in the development of the study synopsis, protocol, statistical analysis plan, clinical study report, and other regulatory submission documents, ensuring
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taken or plan to take to create a collaborative and effective training and mentorship environment in which all trainees and staff can thrive List of three (3) references The annual base salary range
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programs and is collaborating with more than 350 institutions from around the world, representing 78 different countries. The mission of St. Jude Global is to improve the survival rates of children with
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neuroscience, or related fields. Demonstrated hands-on experience with neural circuit-based approaches. Strong programming skills (Python preferred). Experience analyzing time-series data, preferably from