430 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Nature Careers in United States
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. Applicants must have: A medical degree or a terminal research degree (PhD or equivalent) in a relevant discipline. An actively funded research program in basic or translational research relevant to bladder and
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services by utilizing the computerized scheduling system in an accurate, efficient manner. Maintains scheduling (clinic-specific) information and computer knowledge to ensure safe and effective scheduling
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neurobiology, immunology, structural biology, cell and molecular biology, infectious diseases, host-microbe interactions, chemical biology and therapeutics, computational biology and more. New institutional
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neurobiology, immunology, structural biology, cell and molecular biology, infectious diseases, host-microbe interactions, chemical biology and therapeutics, computational biology and more. New institutional
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studies. Shows awareness of basic safety, ethical, and HPP considerations, and regulatory requirements in terms of documentation and study conduct. Assists in development of relevant technical, study, and
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must hold a MS or PhD degree with a strong background and expertise in genomics, computational biology, metabolism research, and/or cancer biology. The ideal candidate will exhibit independence
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to comply with all applicable federal, state, and local safety and health regulations that would apply to this job Nothing in this job description limits management's right to assign or reassign duties and
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school diploma/GED Completion of a Nursing Assistant/Medical Assistant program required or completion of foundations of nursing from an accredited nursing program Minimum Experience: Pediatric experience
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building a clinical-research program with application to diverse groups of childhood catastrophic illness. The position can be filled at the Assistant, Associate or Full faculty level and can be within
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of new statistical methods). Areas of disciplinary research application include biostatistical methods, clinical trials, population health, statistical genetics, bioinformatics, statistical computing