96 environment "https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Rutgers University
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understanding the origin and evolution of habitable environments on terrestrial planets through theoretical, computational, and interdisciplinary approaches. Our research approaches this question from the broader
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state through outreach to and engagement of our extraordinarily diverse communities. CORE VALUES: Curiosity and Discovery: encouraging an environment of continuous inquiry, creativity, and innovation
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has multiple ongoing projects funded by the New Jersey Board of Public Utilities, the US Department of Energy, the US Environmental Protection Agency, the National Science Foundation, and others
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Experience: PhD in Neuroscience, Biological Sciences, Physiology, Biomedical Engineering, Psychology, or a relevant field required. City: Piscataway State: NJ Physical Demands and Work Environment: PHYSICAL
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voluntary tax-deferred savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http
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centers and institutes that focus on cancer treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our
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track record and excellent oral and written communication skills. Equipment Utilized Physical Demands and Work Environment Special Conditions Posting Details Posting Number 26ST1687 Posting Open Date
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Environment Overview Statement Rutgers University is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion
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Position Details Position Information Recruitment/Posting Title Post Doctoral Associate Department Environmental Science Salary Details $65,000 - $75,000 Offer Information The final salary offer may
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collaborative and interdisciplinary research environment. Preferred Qualifications Experience with computational structural biology, molecular modeling, or AI-assisted drug discovery is desirable but not required