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Field
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, developmental constraints and evolvability; knowledge of methods for automated phenotyping during development (e.g., for gene expression and morphology). Dynamical systems: knowledge of linear and nonlinear
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include 1) developing automated, precise, robust, intensified, modular, and electrified (A-PRIME) water desalination technologies to support a circular water economy; 2) optimizing the coordinated operation
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programming skills and finite element (FE) analysis experience is a requirement. Knowledge of machine learning, Matlab and Abaqus is also highly desired. Previous experience with parametrization and automation
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of machine learning methods for assurance on hardware devices like PCBs and ICs as well as on the development of automated hardware reverse engineering approaches at the IC and PCB levels for design recovery
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at the interview. Submitting your application We prefer to receive applications online. We will update you about your application at various points throughout the selection process via automated emails from our e
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about your application at various points throughout the selection process, via automated emails from our e-recruitment system. Please check your spam/junk folder periodically to make sure you have not
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using a combination of multimodal imaging, computer vision, and lab automation platforms that govern entire workflows (e.g. ThermoFisher momentum software scheduling Hamilton liquid handlers and high-end
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expressions when the matrix sizes are unknown at compile-time. The project aims to address the problem using e-graphs. An e-graph is a data structure commonly used in automated theorem provers and recently
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related to the use of Unmanned Aerial Vehicle (commonly known as drone) technology and developing autonomy solutions for automating bridge inspection and semiconductor manufacturing through Human-Robot
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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. • Experience in deep learning, machine learning and medical imaging processing