136 optimization-nonlinear-functions Postdoctoral research jobs at Rutgers University
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Department at Rutgers University, New Jersey. We study reproduction, specifically molecular mechanisms of the meiotic cell cycle. Our work involves genetic mouse models, combined with molecular, cellular, and
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. Posting Summary One exciting position is open to join our lab as a Postdoctoral Researcher. Our team reveals evolutionary and developmental mechanisms of the fish-to-tetrapod transition combining functional
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renewable for two additional years pending productivity, performance, and overall fit. The postdoctoral program enables associates to build a high caliber scholarly portfolio in LGBTQ+ public health research
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Internal Number: 251306 Position Summary: Rutgers, The State University of New Jersey is seeking a Postdoctoral Associate within the Cancer Pharmacology at the Rutgers Cancer Institute. In this role
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purpose of the Postdoctoral Associate position is to perform specialized research activities and design and execute advanced experimental procedures in an immunology-focused laboratory independently. Among
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, cell biology, or physiology Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Overview The Department
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: Strong written and verbal communication skills, including the ability to write research papers, grant applications, and present to diverse audiences. · Teamwork & Collaboration: Ability to work effectively
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. This postdoctoral associate position will be housed in the Department of Plant Biology at Rutgers University, New Jersey in Vaccinium breeding program of Dr. Gina Sideli. This position will also work with Rutgers and
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bioactive small molecules and/or nucleic acids. Strong publication record. Strong communication, writing, and mentoring skills. Preferred Qualifications Equipment Utilized Physical Demands and Work
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on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches for coupling functional