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Field
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decoding of quantum low-density parity-check (LDPC) codes and deriving tighter bounds on the logical error rates of quantum Calderbank-Shor-Steane (CSS)/LDPC codes under the phenomenological or circuit-level
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students’ academic and mental health outcomes. Job responsibilities include: Conducting descriptive and advanced statistical analyses (including multilevel modeling) on extant and merged datasets using SAS
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medicine with seemingly endless possibilities to match the right treatment to the right patient. As organoid data are often longitudinal in nature (e.g. expressed by growth curves), can be derived from
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will contribute to projects focused on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage
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for an ambitious PhD student on perceptual foundation models. Your research is part of the Video & Image Sense Lab. Join our team! Recent breakthroughs in Artificial Intelligence resulted in the emergence
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with colleagues with diverse backgrounds? The Informatics Institute is looking for an ambitious PhD student on perceptual foundation models. Your research is part of the Video & Image Sense Lab. Join our
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, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control
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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
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direction of the laboratory. Duties & Responsibilities Project Leadership & Innovation Conceive, design, and direct highly complex research projects involving murine models, de-identified human samples, and
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decision support tools. These mathematical models help battery owners make strategic decisions, such as when to charge and discharge or on which electricity markets to focus. In this PhD trajectory, we