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systematic perturbation systems for understanding brain network Position Description: We are seeking a highly motivated postdoctoral scholar to join our interdisciplinary research team. The successful
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital
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of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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. The Postdoctoral Associate will also help to build and sustain the Lab of Labs, a collaborative and dynamic network of researchers in purpose science across institutions who desire meaningful opportunities to engage
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– investigating how mucosal epithelia are assembled and maintained, and how these processes inform the origins of complex tissues in animals. Innate immunity and host–microbe interactions – studying the genetic and
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investigating how targeted interventions modulate brain networks and relate to clinical improvement in PGD. The Fellow will contribute to the development of computational brain models of grief and resilience in
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fundamental mechanisms of gene regulation, and transcriptional circuits including gene-regulatory networks, feedback regulation, and regulation of stochastic expression noise in multiple model systems ranging
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data analysis for omics studies, including genotype data, bulk and single-cell RNA sequencing data, high-dimensional phenotype data, pathway and functional analysis, network analysis, polygenic risk
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Engineering, Agronomy, Soil Science, Ecosystem Science or closely related field at the time of appointment. Proven experience in independently executing complex and high-responsibility assignments in support of
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enhance optimization algorithms, help practitioners select the most effective algorithms, and guide the discovery of entirely new algorithms. Many of today’s most pressing challenges involve complex