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oral communication skills. Rutgers University offers a vibrant interdisciplinary research environment with internationally recognized strengths in planetary science, Earth science, computational modeling
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on their mission of reducing and ultimately eliminating, tobacco-related morbidity and mortality. Five Centers or Programs currently operate at the Institute including a Tobacco Center for Regulatory Science, the
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research with clinical applications to addiction and other mental health concerns. Our work draws on methods from psychology, experimental economics, human neuroscience, and computational psychiatry. Ongoing
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(Computer science, Statistics, Bioinformatics, Physics or similar fields) or in Life sciences with a strong computational and programming background. All But Degree (ABD) status will also be considered
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and Experience Ph.D. in Neuroscience, Genetics, Bioinformatics, Computer Science or a related science is required. Ph.D. Candidates who meet requirements with All But Degree (ABD) will be considered
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position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We
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. Professional development and mentoring programs will be integrated into the research program, including skill development in managing a clean laboratory and mass spectrometry laboratory and training users
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duties of this position are the following: Conceptualizes, designs and implements research and program evaluation projects in support of the lab’s mission. Based on a thorough knowledge of the field and
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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
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, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair