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disease modeling using AI predictive tools. Combining computational virtual cell frameworks with wet-lab validation in human iPSC-derived neural models, organoids, or in vivo systems. Exploring
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, or a closely related field. ● Minimum three years of research experience in computational modeling of brain circuits. ● Demonstrated expertise in the Neuroblox computational neuroscience platform
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on building and understanding foundation models for science, and in particular modeling complex interconnected systems from astronomy, biology, fluid dynamics to solar physics. For this position, we are looking
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neuroscience, and brain-computer interfaces, machine learning and deep learning, statistical modelling, regression methods, and uncertainty quantification, calibration, interlaboratory comparisons, and
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experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants
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Infrastructure? No Offer Description The selected candidate will lead the metabolic modeling efforts within our Biotechnology pillar. The primary goal is to use computational modeling and network analysis
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Date 1 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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, and tracking), the creation of explainable AI methods to interrogate scientific datasets, and the design and implementation of mechanistic models of biological processes that work together
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, to conduct quantitative research on wildlife pathogen surveillance and aquatic invasive species modeling within the Department of Veterinary Population Medicine. The position involves wildlife disease