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Cornell University, CVM Department of Population Medicine & Diagnostic Sciences Position ID: Cornell -PMDS -POSTCHIEN [#30322, WDR-00054238] Position Title: Position Type: Postdoctoral Position
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scientific publications, patents, and seeing collaborators translate our work into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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projects utilizing machine learning, deep learning, and generative AI to solve business and healthcare problems have been undertaken at the Insight Lab. For more details, please refer to: https
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and aggression, using optogenetics, in vivo imaging, electrophysiology, and sophisticated machine learning/artificial intelligence analyses of mouse behavior. All projects have translational components
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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areas 2. Assist faculty in the development and execution of externally funded research projects 3. Mentor undergraduate and graduate researchers involved in MOVE projects Job Summary Postdoctoral
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Position Title: Postdoctoral Research Associate Position Type: Full time Scheduled Weekly Hours: 40 Categories: Staff Exempt Job Summary: Job Duties: Bucknell University Department of Chemical
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decays, searches for supersymmetry and other new phenomena, and measurements of rare standard model processes. We vigorously pursue the use of machine learning techniques for data analysis. Candidates must
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, machine learning, and bioinformatics tools. Expertise in CRISPR-based assays, especially CRISPR screening, is highly meriting, as is experience with single-cell RNA sequencing or other omics assays