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Field
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experiment at Rutgers University. Our group, led by Profs. John Paul Chou, Yuri Gershtein, Eva Halkiadakis, Amit Lath, Sunil Somalwar, and Scott Thomas, has major involvement in physics, software, and hardware
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and optimize device architectures using finite element simulations. Fabricate prototypes using 3D printing, and cleanroom technologies. Implement test setups and assess devices performance through
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authors, such as human developers and AI assistants interact correctly, safely, and securely? The project aims to create synergy between verification, analysis, and testing to repair faulty software and, in
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impact by benchmarking your silicon prototype against traditional DSP methods. You will measure system-level improvements on actual analog test chips in NXP's labs. You will be supervised by Dr. Chang Gao
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familiarity with laboratory methods, such as qPCR, immunohistochemistry and flow cytometry are required. Experience in use of omics tools and handling of big dataset as well as analysis of data using R software
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to reason about software (e.g., LLM agents for finding and fixing bugs)Static and dynamic program analysis (e.g., to infer specifications)Test input generation (e.g., to compare the behavior of old and new
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scientific questions Proficient in scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab, SRIM/TRIM) Basic knowledge of scientific data analysis and statistical evaluation Good command
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well as collaborative research in the field of medical imaging. Specific research foci include the development of ultrahigh field MRI methods in terms of both acquisition parameters and processing, including software
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Title: Next-Generation Membrane Testing for Fuel Cells and Electrolysers Using Terahertz Spectroscopy Abstract: This is a unique opportunity to join a cutting-edge PhD project in collaboration with
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. dr. Harald Vranken and dr. Mina Sheikhalishahi) as well as formal methods and software testing (prof. dr. Tanja Vos and dr. Tim Steenvoorden). The PhD project will be carried out in close cooperation