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key role in driving high-impact research, developing innovative objectives, and formulating proposals within cutting-edge fields, including Computer Vision, Digital Healthcare, AI Optimization, and
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infrastructure. About you We are interested in candidates with expertise in one or more of interactive theorem proving, formal verification, information-flow security, seL4, neurosymbolic AI, and AI-assisted
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), if applicable. A Research Statement (1-2 pages) highlighting your AI background and vision for human-agentic teaming in complex physical systems. Contact information for three professional references. Who We
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activities comply with approved human-subjects, confidentiality, and data-security procedures Draft research memos, technical reports, policy briefs, presentations, manuscripts, and other dissemination
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . JOB DESCRIPTION AND POSITION
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readiness. In this role, you will lead laboratory-based research to generate the biocompatibility, safety and performance data required to support the development of next-generation infection-resistant
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, overwhelm healthcare systems, and disrupt economies. This doctoral project will develop a genomic platform for securely, proactively and in real time-sharing data on a European scale, with the aim
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and Apptainer/Singularity, as well as version-control and research-software best practices Knowledge of responsible AI practices, AI ethics, data governance, privacy, security, reproducibility, and
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foraminifera from cores Integrate benthic foraminifera population data with other data types produced by project and write manuscripts for peer-reviewed publications Actively participate in lab group meetings
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in research techniques and analyses. Understanding of issues with data confidentiality/security/data sharing/data linkage. Project management experience preferably in an academic setting. Previous