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Field
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based on advancing the development and application of focused ultrasound for non-invasive neuromodulation, ablation, and brain drug/gene delivery. The successful candidate will be an integral part of
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tools in heat and mass transfer, microfluidics, thermodynamics, bioengineering, micro/nanotechnology, and computational modeling. We are passionate about developing novel translational platform
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indicated below: · Work on assigned projects (~80%) · Review scientific literature, write manuscript, and prepare poster (~10%) · Attend lab/center meetings and research seminars (~5%) · Other related duties
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detectors recording nuclear collisions. The expected candidate has strong experience in ML/AI to facilitate the development of a framework to search for unknown and not yet discovered transitions in
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Participates in study design, data acquisition and analysis, manuscript development, and presentation/publication of results. Helps with administration and educational translation of the research agendas
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position is funded by multiple NIH projects, e.g., https://tinyurl.co m/ysxhmujvThe overall goal is to : (1) develop inference and dynamic prediction models using a wide variety of data, including clinical
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to complement initial AIDA3 support. The research faculty member will develop relationships with research sponsors and AIDA3 consortium members; additionally, they will lead or assist in the continuing
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education, conduct applied and policy-relevant research, and serve the public in the design and development of sustainable, resilient, and livable cities. Our work is consistently applied, multi-disciplinary
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interneuron-associated brain disorders. Therefore, the Research Assistant will contribute to the lab’s research program by determining functionalities of cortical interneurons in health and disease and develop
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will develop and apply cutting-edge methods in predictive and causal modeling for age-related macular degeneration (AMD), a primary cause of irreversible vision loss worldwide. This work will involve