359 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in United States
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. Support for fellowship applications and professional development. To Apply Applicants should send (1) a CV with contact information for 2-3 references and (2) a cover letter describing their interest in
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building projects required. Experience with computer-aided drafting (AutoCAD) and Microsoft Office (e.g., Excel, Word, PowerPoint). Familiarity with current technical environmental impact assessment
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performance in earlier role conducting social and/or environmental health research. Experience in study design methodology, protocol development, study conduct, data analysis, and statistical modeling. At least
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fellows at the University of Tennessee Health Science Center. Fellows receive a competitive salary, professional development allowance, a personal computer for use during the fellowship, tuition assistance
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regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status
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Scientist- Talbot Laboratory, Departments of Surgery and Bone Marrow Transplantation and Cell Therap
with generation of single cell datasets from dissociated tissues Ability to independently design and execute experiments and interpret data, inclusive of figure generation and statistical analysis
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-TEM data acquisition and preliminary analysis. The position is service-oriented, collaborative, and offers opportunities to participate in technology development projects, evaluate new methods, and
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email the following materials to Dr. Dolores Hambardzumyan at Dolores.Hambardzumyan@PennMedicine.upenn.edu Cover letter describing research interests and career goals Curriculum vitae Contact information
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benefits package provided Application Instructions Interested candidates should submit: CV, Brief cover letter describing research interests and experience, Contact information for 2–3 references If you are
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. Technology, data-driven knowledge, artificial intelligence (AI), consumerism, and “platform thinking” will establish the next generation of health care. To thrive in this environment, healthcare organizations