72 power-system-"https:"-"https:"-"https:"-"https:"-"CEA" Postdoctoral positions at Rutgers University
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record of research in flexible electronics, wireless power transfer, or physiological signal monitoring. Experience with academic writing and a history of contributing to technical progress reports or
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applications will be reviewed on a rolling basis. https://njhealthstudy.rutgers.edu/en https://reporter.nih.gov/search/PuN2He56kEa658kDgQWquw/project-details/11365732 https://ifh.rutgers.edu/profile/l-s
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Cancer Institute of New Jersey, Rutgers University, 164 Frelinghuysen Road, Piscataway, New Jersey 08854. Email: [email protected]. Lab website: https://sites.rutgers.edu/wei-xing-zong
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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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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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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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package and the Unix operating system Physical Demands and Work Environment none Overview Statement Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu
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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