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, and behavioral measures. · Collect, process, and analyze multimodal datasets, including neural, physiological, and motion-tracking signals. · Develop and refine research protocols and methodologies in
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scholar to perform research related to lung injury and resolution. The successful candidate will use cell-based and mouse cells/tissue to study macrophage signaling pathways that promote lung injury
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analysis using the Digital Signal Processing (DSP) toolbox in MATLAB (including novel analyses), and data visualization via YAEL (Your Advanced Electrode Localizer). The successful candidate will also have
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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from the ovarian stroma and transform these signals into biochemical signals within the follicle (See Amargant et al., 2020, Aging Cell; Pietroforte et al., 2023 Under review PNAS). 2. How does oocyte
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behaviors of MEMS structures. Hands-on experience working with signal processing and RF testing instruments. Strong communication skills for working in a multidisciplinary team environment. Ability
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
the research to their interests, and can contribute to all aspects of the mission, including other aspects of science analysis, improvement of engineering processes, and data processing. SPARCS emphasizes
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signaling pathways that promote lung injury resolution. The studies will include using cell culture and organoid models to provide mechanistic insight of murine models of lung injury. We seek candidates with
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have a passion for multidisciplinary research and (i) expertise in EEG acquisition, signal processing and data analysis (ii) experience coding, preferably with Python (iii
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in translational neurotechnology, medical device development, and conducting clinical or preclinical proof-of-concept studies Preferred: ï‚· Experience in physiological signal processing and the