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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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Undergraduate Student Research Assistant An/Zhang Working Title (if different from Position Title) Job Summary The Complexities of Human-Environment Emergence & Resilience (CHEER) Lab, under the supervision of Dr
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models, frameworks, and methods to confront complexity underlying persistent societal challenges affecting the well-being of people and the planet. This position represents a unique opportunity to
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, C. elegans, and zebrafish to the more complex networks in mice, owls, and humans. ION boasts a highly collaborative faculty with expertise in genetics, development, electrophysiology, optogenetics
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collaboration with the Air Force Research Lab (AFRL) Regional Network Midwest, is seeking a highly motivated postdoctoral researcher to join our team. This position offers a unique opportunity to work within
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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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disease (CAD). You will apply expertise in data science, machine learning, as well as multi-omics integration to predict and validate functional regulatory networks in vascular cell types. This work will
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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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Cryptography o Data Sciences, Complex Networks, Mathematical Biology o Quantum Computation & Information Science o Post-Quantum Cryptography, Homomorphic Encryption and Computing o Theoretical and Computational