101 composite-residual-stress-development Postdoctoral positions at Rutgers University
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for the independent conduct of a significant element of a larger research activity in algal and seaweed biotechnology, computational biology, and genetics aimed at developing platforms for generating valuable
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continuing education for professional and personal advancement. Rutgers is New Jersey's land-grant institution and one of the nation's foremost research universities, and as such, we educate, make discoveries
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Investigator, the Postdoctoral Associate(s) will be responsible for the performance and analysis of experiments focused on development and function of novel immune cells. Our research focuses on development and
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. The lab’s work broadly centers on the development, evaluation, and implementation of technology-enabled interventions aimed at both prevention and management of pregnancy-related conditions and complications
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advanced signal processing and time–frequency analyses of neural recordings. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer
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developing ADRD studies of deeply phenotyped participants at high ADRD. Bloods are collected longitudinally and assessed for different types of omics. The postdoc will work closely with the PI and a team of
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analysis. The Postdoctoral Associate will work with behaving mice and develop experimental and analytical approaches to understand circuit-level mechanisms of cognition. Among the key duties of this position
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these motor proteins convert the energy from ATP hydrolysis into mechanical work in order to promote pre-ribosomal folding. The assays developed will be used to benchmark wildtype versus disease-derived mutants
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, intraoperative video, OR traffic signals, EHR data, and patient/surgeon surveys with explainability and equity at its core. Among the key duties of this position are the following: Design and train vision–text
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mechanism of CRISPR-associated nucleotide signaling. We also aim to develop innovative tools for fast and sensitive nucleic acid detection and the diagnosis of human disease, using insights gained from our