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at the University of Arizona is seeking a postdoctoral research associate to develop theoretical and computational approaches for understanding how biological neural networks organize activity through nonlinear
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. Knowledge, Skills, and Abilities: Complete knowledge of all job functions and the broad industry best practices, techniques and standards. Ability to transfer knowledge and application of complex principles
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, particularly gene-regulatory network inference, pathway analysis, or inferred protein-activity analysis. ChIP-seq, viral vector methods, genome engineering, or related molecular approaches. Candidates are not
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and Endometriosis Study” (ARCHES) (R01HL164715). The Postdoctoral Research Associate I, under guidance of our team of Principal and Co-Investigators, will be responsible for analyzing complex health
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on developing novel neural network approaches to predict protein conformational dynamics from fixed protein structures, addressing fundamental challenges in structural biology with broad applications in
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tools such as R or Python. Ability to design, execute, and troubleshoot complex experiments independently. Ability to organize and prioritize work across concurrent experiments and coordinate with a multi
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and temporal changes in soil moisture and subsurface properties. Integrate ERT observations with complementary sensor networks and environmental observations. Collaborate on coupling geophysical
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molecular profiling approaches. Ability to analyze and interpret complex experimental datasets and integrate findings across complementary experimental approaches. Strong critical-thinking and problem-solving
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at the University of Arizona and relocations services, please click here . Duties & Responsibilities Carry out experiments independently to determine dysregulation in RNA binding protein network and
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synthesis, including systematic reviews, pairwise meta-analyses, and network meta-analyses; biomarker discovery and validation using spatial transcriptomics. The Department of Urology at the University