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support data analytical efforts using ML / AI algorithms for high frequency longitudinal sensor data, study data management, interaction with various UAHS stakeholders and incorporation of wearable sensors
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operate a real time VOC sensor (proton-transfer-reaction time-of-flight mass-spectrometer, PTR-ToF-MS) and analyze resulting data alongside genomic and metabolom. Outstanding UA benefits include health
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of ecosystems. The project aims to: Improve our understanding of what controls net primary production of ecosystems. Develop upscaling methods to estimate whole-ecosystem transpiration from local measurements
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transpiration of ecosystems. The project aims to: Improve our understanding of what controls net primary production of ecosystems. Develop upscaling methods to estimate whole-ecosystem transpiration from local
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parity-check codes and iterative decoders, investigating applications of quantum error correction in quantum computers and networks. We are interested in candidates with strong expertise in burst error
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nuclear systems and neutrino dynamics. Qutrit-based and hybrid quantum-classical approaches for many-body simulations. Tensor network and entanglement-based methods in many-body physics. Knowledge, Skills