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Qualifications •Ph.D. in Chemistry, Chemical Engineering, Materials Science, Physics, Computer Science, or a related field. PhD must be awarded no more than four years prior to the effective date of appointment
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modeling approaches. • Investigate interactions between food products and paper-based packaging materials across diverse product categories. • Collect, process, and analyze experimental data, including
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systems. • Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. • Investigate logistics optimization strategies for packaging
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elements • Design and perform long-term laboratory testing on thermally modified wood CLT assemblies with various protective coatings. • Collect, process, and analyze experimental data; prepare technical
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systems spanning from novel physical layer waveforms designs (e.g., MIMO, OTFS) to artificial intelligence-enabled networking protocols; from reflecting intelligent surfaces (RIS)/integrated sensing and
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candidate will join Dr. Siddharth Saksena’s research group, which focuses on advancing hydrologic modeling, flood forecasting, and hydroinformatics through the integration of artificial intelligence, physics
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for construction operations. The successful candidate will contribute to cutting-edge research in mixed reality (MR)-based simulation platforms, machine learning-based process optimization, and human-machine
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Qualifications -Postdoctoral associate applicants must have a background in quantum information and hold a Ph.D. in Theoretical Physics, Theoretical Quantum Chemistry, or a closely related field. PhD must be
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Analysis: Process and analyze neural and behavioral data (custom coding required). • Stereotaxic Surgery: Conduct precise stereotaxic injections and implants in mice. • Transgenic Mouse Colony Management