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Description Open one or two year Postdocs positions on Surrogate Models for Uncertainty Quantification (UQ), at the Centro de Investigación en Matemáticas (CIMAT-SECIHTI, México). We are a UQ research group
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Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures) to large-scale biomedical
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iPSC modelling Objective: Investigate molecular mechanisms underlying microglial vulnerability to cellular senescence in Multiple Sclerosis (MS), using human iPSC-derived models and advanced gene editing
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modification. By marrying first-principles theory – trade-off analysis, game theory, reaction-diffusion, and consumer-resources models – with single-cell tracking and synthetic community experiments
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to drive forward interdisciplinary research, such as research on mutagenesis using heavy-ion beams with LET of 180 keV/μm or higher, that induces large genome mutations, and the construction of new models
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) analysis Mathematical modelling Microbiology Molecular biology We approach science with the view of physics, aiming to identify principles behind complex systems. We collaborate closely with engineers
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definition modelling of neurodevelopmental disorders through the integration of brain organoid, technologies and a wide suite of multi-omic, imaging and functional assays. Your main tasks and responsibilities
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Technologies; (6) Carbon Capture, Utilization, and Storage; (7) Controlling Factor and Macroscale Model of Carbon Emission. III. Qualifications The applicant should 1. abide by the laws and regulations
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—HIMCAS leverages its unique position amid 1,000+ biotech companies through our "Three-In-One" research model that systematically integrates basic discovery, technology development, and clinical translation
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exceptional candidates to lead vigorous independent research programs in neuroscience research using nonhuman primates as animal models. Competitive candidates must hold Ph.D., M.D., or equivalent degrees