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of partition panels for workspaces that integrate complementary modules, such as acoustic and lighting components, within the scope of the project 'BiMAIS – Modular Partitions with Acoustics and Lighting
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behavior and/or brain physiology. A strong analytic background, particularly in modeling neural systems and analyzing large datasets. Experience with acoustic signal processing, sound recognition, and
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embedded systems from vulnerabilities rooted in sensor physics, studying the impact of physical signals (e.g., acoustics, lasers, electromagnetic emissions) on AI and sensing systems, and innovating hardware
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successful candidate will have a strong background in Earth science, signal processing, and computational data analysis; demonstrated written and verbal communication skills; and the ability to work both
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/ contrast agents Signal processing or computational imaging Demonstrated research productivity (e.g., peer-reviewed publications) Strong communication and teamwork skills Preferred Qualifications Experience
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enables bold, interdisciplinary science to advance our understanding of geological hazards and Earth processes in one of North America's most complex and geologically active regions. Summary: The postdoc