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vibration control, with demonstrated expertise in stochastic dynamics or random vibration, computational modeling, and experimental validation of mechanical systems. The successful candidate will work closely
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cardiovascular disease prevention and chronic disease modelling. Funded by the European Society of Cardiology, the successful candidate will join the Health Economics and Policy Evaluation Group within
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investigate systemic immunity, the tumor microenvironment (TME), and the mechanistic drivers of resistance to radiation and immunotherapy utilizing advanced pre-clinical models of head/neck and pancreatic
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/user behavior, Collect and analyze human performance data (reaction times, workload, situational awareness, eye tracking, etc.), Develop and validate computational models of human behavior in driving
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electrophysiology, chemogenetic and optogenetic circuit manipulation, Inducible conditional knockout mouse models, and Pharmacological interventions. The successful candidate will use these cutting-edge approaches
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Walli-Attaei on a research programme focused on the economics of cardiovascular disease prevention and chronic disease modelling. Funded by the European Society of Cardiology, the successful candidate
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. The candidate will work closely with computational modeling collaborators to validate reactor designs and optimize operating parameters. The candidate will be expected to contribute to report preparation
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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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Position Description Summary: Applications are invited for a postdoctoral position to conduct experiments with bacteria swimming in fungal hyphal networks and model their movement and dispersal
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collaborative research environment Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications Experience with device nanofabrication Experience in