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Field
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experience, mouse colony management, tissue collection and processing for molecular biology analysis. Molecular Biology: Western blot, Immunoprecipitation, Northern blot, PCR, RT-qPCR, ChIP, RNA-IP, Click-IT
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are to independently investigate the regulation of receptor tyrosine kinase signaling and its influence on tumor response to treatment, to elucidate the mechanism by which PI3K mutations alter sensitivity to both DNA
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programming skills are essential, along with a track record of published papers and strong self-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or
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to treat malignant brain cancer glioblastoma. Part of our work centers on targeting EGFRvIII, which is splice variant of EGFR and is highly expressed in these tumors. Recently, we demonstrated a tyrosine
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modeling. Brief Description of Duties: The Postdoctoral Associate will assist the Principal Investigator Dr Fang Luo in the Department of Electrical and Computer Engineering . The incumbent will conduct
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take place in the week of the September 8. If needed, the second interviews will be held shortly after. A reference check will be part of the application procedure. Please indicate in your CV or letter of
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at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD
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); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and
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, electrical engineering, experimental physics, or a related field Strong programming and signal processing skills, with experience in Python and/or MATLAB Demonstrated ability to work independently and
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the molecular-genetic foundation for how microbial physiology is shaped by fermentation and formulation processes—and how those processes, in turn, affect the application efficacy of microbial products