289 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Dip" positions at Nature Careers in United States
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Postdoctoral Research Associate - Training in Pediatric Cancer Survivorship Outcomes and Interventio
datasets and expertise; a top-ranked scientific environment; and superb benefits, mentoring, and professional development. Positions are available in diverse research areas, including epidemiology, genetics
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development plans, teaching and mentoring opportunities, non-research career advancement programs, professional development allowance, and so much more. Competitive Compensation: Embark on your journey with a
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. Knowledge of the principles of growth and development for all ages served. Ability to assess and interpret age specific data about the patient's status. Proven performance in earlier role. Licensure
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. Opportunity to be a core part of a highly collegial, collaborative, dynamic team doing mission-driven fundamental research. Opportunities for professional development and growth. What you’ll do: Analyze and
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recommendations, and integrate solutions. Lead the development, implementation, installation, and maintenance of databases; coordinate data collection, database implementation, and usage and any hardware and
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expand your clinical knowledge and skills and be involved in protocol development and clinical trials from bench to bedside under the mentorship of internationally renowned clinical investigators. Fellows
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Compliance plays a vital part in safeguarding the integrity of our global collaborations and research. This position leads to the development, implementation, and oversight of international compliance programs
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events, including the development of presentation materials and visual aids. Skills and Abilities: Understands the task at hand, seeks out information, and draws conclusions from available data to deliver
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. This position is open to remote consideration. Job Responsibilities Lead the development, implementation, and operations of accounting and decision-support systems by working closely with cross-functional teams
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to model chronic disease outcomes progression and management, development of AI-based predictive models for genetic kidney diagnosis, study of genetic risk factors for melanoma, integration of AI-driven