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maintenance of innovative teaching models and simulators—including the use of 3D printing and custom-built designs—to enhance experiential learning in the clinical skills laboratory. In addition, you will
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paired with computational biology and machine learning to develop predictive AI models of how cells interpret and respond to the surrounding extracellular matrix. Required Qualifications: We are looking
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array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed
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devices, AI-Enabled Materials Discovery & Characterization: Application of machine learning, autonomous workflows, and AI tools for accelerated materials design and automated characterization. Materials
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, or research experience in machine learning applications in neurological and psychiatric disorders are encouraged to apply. Relevant full-time university teaching experience in research, higher education, or
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for a PhD project focused on advancing the design and functionality of deployable structures through the integration of 4D printing, architected materials, and scientific machine learning (sciML). A part
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Instruction Department's Website: https://cied.uark.edu/ Summary of Job Duties: The Department of Curriculum and Instruction in the College of Education and Health Professions at the University of Arkansas is
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, implementation, and testing of deep learning algorithms for speech and audio processing. Implementation of systems for participation in competitive technology evaluations. Where to apply Website https://www.uam.es
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data and multimodal datasets combining imaging and molecular measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with
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in Machine Learning and Artificial Intelligence. Must be able to design and implement data-driven software architectures, from conception to production, ensuring good practices in the development