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Researchers at Columbia have created a chip that turns a single laser into a “frequency comb,” producing dozens of powerful light channels at once. Using a special locking mechanism to clean messy laser light, the team achieved lab-grade precision on a small silicon device. This could drastically improve data center efficiency and fuel innovations in sensing, quantum tech, and LiDAR.
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Job Description
The iSMART Laboratory (https://web.stevens.edu/ismart/), part of the Department of Civil, Environmental, and Ocean Engineering (CEOE) at Stevens Institute of Technology, invites applications for a Research Assistant position in the field of remote sensing, with a focus on radar image analysis.
The successful candidate will contribute to cutting-edge research projects in environmental monitoring and hydrology. The role involves developing and applying advanced machine learning algorithms for processing and analyzing complex radar and remote sensing datasets, collaborating with interdisciplinary research teams, and contributing to peer-reviewed publications.
Qualifications
Strong background in remote sensing and radar image analysis
Demonstrated experience with machine learning techniques for image processing
Proven ability to work with large and complex datasets
Track record of authored or co-authored scholarly publications is highly desirable
For consideration, submit your application via our Workday Career
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Solar energy is now the cheapest source of power worldwide, driving a massive shift toward renewables. Falling battery prices and innovations in solar materials are making clean energy more reliable than ever. Yet, grid congestion and integration remain key challenges. Experts say smart grids and sustained policy support are crucial to accelerate the transition.
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RSS Feed Source: Science Daily
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