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, neuroscience, psychiatry, cognitive science, computational neuroscience, statistics, applied mathematics, or a related field Strong background in computational modeling of behavioral data Experience with model
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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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, viral vector engineering, and computational modeling to decode the development, circuit organization, and degeneration of the visual system. We are seeking a highly motivated scientist trained in
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5 Sep 2026 Job Information Organisation/Company University College Dublin Research Field Mathematics » Statistics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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currently seeking a Postdoctoral Research Associate in Spatial Omics and Statistical Data Science to join an ARC-funded Discovery Project developing statistical and computational methods for the analysis
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statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision
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internationally) Requirements: The successful candidate should have the following qualifications: • PhD in Epidemiology, Data Science, Applied Mathematics, Computer Science, Statistics, Public Health, Economics or
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., Tucson, AZ 85719 USA Position Highlights The Madhavan Lab in the Department of Neurology is seeking candidates for one full-time Postdoctoral Research Associate I position. The program is accepting
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 3 months ago
of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 15 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number
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on astrophysical source populations and dark-matter signals, exploiting statistical correlations across datasets to break degeneracies that limit single-probe analyses. The framework will be validated on synthetic