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Field
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at the systems level – from molecules and cells to organs and the entire organism. Through academic, clinical, and industry partnerships, as well as global networks, we strive to translate biological discoveries
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Application Areas of Interest: Cyber-Human-Physical Systems: Human-System Interaction, Human-Centered Planning and Design. Smart, Connected, & Healthy Communities: Smart Integrative Energy Systems, Smart
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games, and autonomy. They will join a project on enhancing safety and resiliency in autonomous vehicles that use Artificial Intelligence, including Large Language Models. Possible topics specific to AI
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Entrepreneurial Engineering Network (KEEN). This role will contribute to advancing scholarships in engineering education, support research dissemination, and mentoring student researchers. Additional Information
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the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes
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neurological and psychiatric disorders. Collaboration cycles from basic research to clinical trials and community outreach, across a network that spans UNMC and regional partner institutions, to advance our
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contributions to the scientific community CORE JOB FUNCTIONS 1. Conducts research on specific areas of study as assigned. 2. Prepares research reports and technical papers for publishing. 3. Investigates
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processes necessary for normative cognitive and language development as well as the impact of disordered processing on infant neurocognitive outcomes using converging paradigms and prospective longitudinal
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groups to study cancer biology using deep clinicogenomics data and cutting edge NGS diagnostics. The Opportunity: Opportunity to drive scientific, analytic, and technical innovation in a community of
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techniques including deep neural networks and large language models (such as GPTs), with state-of-the-art functional genomics approaches, including crop genomics, genome editing, and single cell multiomics