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to early-stage efforts focused on muscle biology and inflammatory disease. The successful candidate will apply their expertise in murine models and immunology to explore disease mechanisms, validate novel
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/Administrative Internal Number: 6852091 Postdoctoral Research Associate--Translational/Muscle Biology (Murine Models) About the Opportunity About the Opportunity: We are seeking a highly motivated Postdoctoral
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for the Modeling of Biological and Sociotechnical Systems (MOBS Lab) within the Network Science Institute at Northeastern University. MOBS Lab focuses on research projects aimed at developing innovative mathematical
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environmental science is of supreme importance. Students entering the science classroom bring well-developed intuitive frameworks that help them understand, explain, and predict the world around them. These
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(that might predict learning and outcomes), underlying cognitive and neurobiological mechanisms, and intervention outcomes using tools including, but not limited to brain imaging (broadly defined
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of development stochastic models that explain the population behaviour of immune cells subject to controlled stimulation, you will collaborate in research that seeks to explain the weak inheritance features
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materials property predictions. A deep understanding of materials properties and close connections in academia and industry enable the group to explore exciting research avenues. For more information about
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About the Opportunity Job Summary The Copos Group works on computational and mathematical theoretical models with direct applications to several open problems in cell biology. We are specifically
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collaboration with graduate students and external partners. MINIMUM QUALIFICATIONS Knowledge of complex systems, network science, bioinformatics, and computational modeling, with the ability to design and
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-learning based exoskeleton controllers to work across tasks Designing and validating new robotic lower-limb prostheses Exploring other high-risk high-reward research areas related to device design, control