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and software tools for visualizing and analyzing materials characterization data Develop novel, data-driven materials characterization workflows Advance understanding of process-structure-property
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, computational musicology and music theory, music cognition, spatial/immersive audio, generative music systems, human-computer interaction, machine improvisation, musical robotics, and/or new interfaces
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candidate will be part of a diverse team of experimentalists, theoreticians and biostatisticians that studies thalamocortical interactions in different brain models (tree shrew, macaque, human neurotypical
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emphasis on controlling coherent spin-spin interactions. In addition, the ideal candidate will develop new quantum sensing protocols leveraging coherent spin dynamics in high-field and low
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of molecular sensing circuits Designs and carries out experiments in BSL2 lab space Performs quantitative analyses and generates data-rich visualizations from data Demonstrates ability to perform
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media systems, with implications for subsurface biogeochemistry and sustainable critical mineral extraction. The researcher will conduct microfluidic experiments to visualize and quantify fungal–mineral
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activities related to cloning and/or synthesis of nucleic acid nanotechnology Designs and carries out experiments in BSL2 lab space Performs quantitative analyses and generates data-rich visualizations from
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knowledge in using HPC systems for visualization and analysis Technical knowledge of large, dynamical systems (preferably the atmosphere) Knowledge and experience in writing scientific code Skills in clear
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Accommodations): • Visual acuity to read information from computer screens, forms and other printed materials and information. • Able to speak (enunciate) clearly in conversation and general communication
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relate to public health and public safety. The &-Lab is expanding as we embark on a new grant-funded research initiative, where we aim to document, analyze, and visualize inequalities across court systems