81 apply-"https:"-"https:"-"https:"-"https:" research jobs at Rutgers University in United States
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encouraged to apply. If interested, please submit a CV, writing sample, and cover letter indicating which of the aforementioned projects/data are of greatest interest. The start date is flexible, and
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encouraged to apply. If interested, please submit a CV, writing sample, and cover letter indicating which of the aforementioned projects/data are of greatest interest. The start date is flexible, and
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publishing high-profile papers and pursuing an independent career. Candidates with strong motivation and a Ph.D. background in molecular biology/cell biology/biochemistry are encouraged to apply. Applicants
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insurance coverage Employee discount programs Posting Summary The Laboratory for Biomolecular Simulation Research ( http://lbsr.rutgers.edu ) and Institute for Quantitative Biomedicine ( https
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Postdoctoral Associate to join the Addiction & Decision Neuroscience Lab ( https://www.konovalab.com/ ) led by Dr. Anna Konova and located at the Rutgers Center for Advanced Human Brain Imaging Research
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://www.newark.rutgers.edu; https://rscj.newark.rutgers.edu/ ). ABD candidates may apply. PhD must be confirmed within 12 months of the start of employment. Certifications/Licenses Required Knowledge, Skills
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decision-making process associated with the development and commercialization of new pharmaceutical products Requires a PhD. https://hope.rutgers.edu/ Position Status Full Time Posting Number 26FA0178
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required. Jain Lab website: https://thejainlab.org Position Status Full Time Posting Number 26FA0712 Posting Open Date 08/12/2026 Posting Close Date 08/12/2027 Qualifications Minimum Education and
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be found at https://uhr.rutgers.edu/benefits/medical-plans ). Additional support is available for conference travel and professional development. The selected candidate will also be eligible for
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publications can be found on his lab website: https://www.zhuhlab.com The candidates will focus on one or two of the following projects: Developing predictive toxicity models for assessing new