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the supervision of the PI, including proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. Pursue research topics
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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behavior, human-computer interaction, psychology, computer science or related disciplines to work on research projects on human-AI interaction. Increasing ability to generate human-AI interaction data needs
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collaborates with faculty, students, and external partners to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer
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blotting CRISPR/Cas9 genome editing RNAseq and proteomics analysis Organize, process, and report experimental data. Present findings in lab meetings and contribute to manuscript and report writing
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projects independently and collaboratively Demonstrated ability to mentor students and manage complex projects Experience with water resources and flood-resiliency planning is a plus. Hiring Process The
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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water resources and flood-resiliency planning is a plus. Hiring Process The hiring process for this role is ongoing. Application review will begin immediately, and candidates will be interviewed on a
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indication of our preferences around the discipline or background of a successful candidate. The hiring process for this role is ongoing. Application review will begin immediately, and candidates will be
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework