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contributions in one or more of the following key areas: computational modeling of chemical systems, AI-driven materials discovery/design, robotics for chemical synthesis, machine learning applications in
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networks. The interdisciplinary approach of DYNABIO bridges biology with computer science, mathematics, chemistry, and physics. Research carried out within DYNABIO teams spans a wide range of models and
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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
have significant experience in immunology, mouse models of allergic and/or cardiovascular disease, and standard cell culture and molecular biology techniques. The candidate will be expected to execute
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sequencing, and predictive modelling to define the immediate molecular consequences of light and temperature signals. One crucial component of plants’ sensory network is the circadian clock. In plants
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will work on further developing and exploiting advanced ex vivo cell models and organoid co-cultures to explore immunotherapy. The post-holder will analyse various endpoints including T cell activation
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biology, or a related field, and with hands-on experience in translational animal models. A proven research ability in two or more of these areas is desirable: a) neuroscience research in ischemic brain
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molecular mechanisms underlying spinal cord injury (SCI) and traumatic brain injury (TBI) and develop novel repair strategies to promote neural reorganization and functional recovery in experimental models
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on the conformational transitions of prions proteins in yeast and their cellular regulation; perform routine and help develop new techniques in molecular and cellular biology, biochemistry, and genetics; perform routine
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, pharmacophore modelling, and quantitative structure-activity relationship (QSAR) analyses. Advanced practical knowledge of molecular docking and molecular dynamics simulations (GROMACS/AMBER), covering everything