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Field
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experiments with quantitative microscopical analysis and physics-based modelling to understand how conifers solve the challenge of solute transport against the flow of water through the needle, and what
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
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placement of equity, diversity and inclusion as fundamental to our institutional culture. Our current academic plan outlines each as core values and we work to embed them in all that we do. Toronto
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placement of equity, diversity and inclusion as fundamental to our institutional culture. Our current academic plan outlines each as core values and we work to embed them in all that we do. Toronto
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disorders, and childhood cancers. We employ high-throughput metabolomics, epigenomics, single-cell multiomics, (epi)genome editing, and preclinical models to define disease-associated metabolic and epigenetic
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models that combine T&D objectives (e.g., power flow limits, resilience) with aggregator/market participation; evaluate how microgrids and VPPs can offer services while ensuring reliable local operation
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. An individual is needed who can conduct research on questions related to how organisms respond to hypoxic stress and nervous system function using the model organism C. elegans. The individual will report
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networks are controlled, to develop predictive models of methane cycling in northern rivers. This postdoc position will focus on assessing how stream methane emissions are linked to permafrost thaw, using
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effects, cryogenic behavior, XRD, Raman spectroscopies. Modeling of material and detector physics as it relates to observed phenomena, using COMSOL, MATLAB, or other software. Participate in experimental