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Strong background in communication theory, signal processing, and wireless communications, Extensive experience in physical (PHY) layer algorithm design and performance analysis, Proven track record
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 6 hours ago
. Collaborating with CA-SSN’s diverse ecosystems will provide invaluable input to NASA’s data development process, ensuring that data products are broad enough to support a range of questions while also being
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programming skills, in depth knowledge of MR theory, and experience with the acquisition and analysis of (preclinical) MRI data, as well as with mathematical modelling and image processing methods. Experience
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HPMC designs and manufacturing processes hinder renewable energy adoption and efficient electricity consumption. GreenMag plans to deliver next-generation HPMCs that are 50% smaller, 25% cheaper, and 40
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document will provide information of what criteria will be assessed at each stage of the recruitment process. HR Use Only (Research G6 Clause): * Please note that this is a PhD level role but candidates who
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the porous medium appears continuous. This is accomplished by constructing a version of statistical mechanics that takes the physical processes at the pore scale as a starting point. This leads to emergent
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lab focuses on the characterization of plant signaling networks that steer plant specialized metabolism within tightly regulated fitness programs, in particular those modulated by stress hormones
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inflammation-induced cancer. Goal is to discover novel molecular mechanisms that could be targeted to develop new therapeutic approaches. Cytokine and TLR signaling induced activation of NF-kB transcription
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 2 months ago
or to advance professionally. Preferred Qualifications A Master's or a Doctoral degree in one of the following disciplines: Artificial Intelligence, Computer Architecture and Grids, Computer Science
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lab focuses on the characterization of plant signaling networks that steer plant specialized metabolism within tightly regulated fitness programs, in particular those modulated by stress hormones