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datasets, as well as unique biospecimens from Einstein’s long-standing familial longevity studies. The research group is supported by multiple NIH-funded projects, including studies of comparative genomics
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evaluate solutions given problem statements in key generation and relaying across multiple hops in quantum key distribution (QKD) networks. Demonstrate functionality of solutions. Document and publish the
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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using integrated measurement, modelling, and statistical approaches. The team works across multiple spatial scales to understand how environmental exposures affect human health and to generate scientific
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analysis using Python, MATLAB and/or LabVIEW. Integrate experimental and numerical findings to establish performance benchmarks, identify promising design directions and produce practical design guidelines
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computational model that explains how people regulate their resources (e.g., time, energy) across multiple life roles and identities (e.g., worker, parent, community member), how this process affects life
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, motivated early-career researcher interested in learning to collect, manage, analyze, and interpret data from multiple systems including mobile eye tracking, motion capture, and force plate posturography as
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film samples. - Use open-source (python) fitting methods to constrain structural models, determine uncertainties, and combined these properties into a hybrid metrology digital wafer
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properties of thin film samples - Use open-source (python) fitting methods to constrain structural models, determine uncertainties, and combine these properties into a hybrid metrology digital wafer - Perform
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multiple concurrent grants, and mentor junior researchers. The portfolio spans methodological innovation and applied public health impact, including real-time surveillance platforms, lineage transmissibility