283 algorithm-development-"Multiple"-"Prof"-"Prof"-"SUNY"-"St" positions in United States
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Activity Lab is hiring a full-time lab manager to launch an NIH-funded research study to develop algorithms that use data from wearable sensors to assess the quality of early mother-infant interactions
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, research, and develop autonomy algorithms that use sonar data operating in complex environments to avoid obstacles, aid multi-agent decision making and dynamically replan current tasking and sorties. Design
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-world solutions. The engineer will design algorithms, develop software, and integrate real-time and HPC sensing and communications systems. Major Duties/Responsibilities: Design and optimize signal
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&D Signal and Information Processing Software Developer will support software development and integration of real-time mid-frequency active sonar processing capabilities, including algorithm design
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provide insights into comparative physiology across different species. Of particular interest is the modeling of transport networks across multiple scales, including their function, development and
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transitioning military members to apply. You will: Design and conduct exploratory data analysis and hypothesis testing to support analytic objectives Develop interactive dashboards and visualizations using tools
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. We have multiple NIH-funded projects to study the influence of FDA-approved GLP-1R agonists on drug seeking and reinstatement in rodents. A newly funded NIH R01 has the goal to determine who may be
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research initiatives by developing and validating clinical phenotypes (i.e., patient or clinical care attributes derived from multiple EHR data sources using an algorithmic approach with a coding framework
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of the Transitional Care Coordinator. Under the direction and supervision of Transitional Care Coordinator, utilizes multiple referral platforms such as Enso care, e-fax and phone calls etc. to review post-acute
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of developing innovative, principled, and insightful leaders who change lives, change organizations, and change the world. The Data, Analytics, and Research Computing team (DARC) of the Stanford Graduate School