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Pietzner) 7. “Precision targeting of PI3K-driven vascular malformations with small molecule degraders” (working group of Prof. Michael Potente) 8. “PROMetheus” (working group of Prof. Sylvia
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doctoral candidates there, to reveal process-performance correlations and suggest the strategies for reducing corresponding degradation rates. The best performing alloys will be tested in vitro
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in support of their goals. Learn more about us by visiting https://www.isc.upenn.edu/about or www.linkedin.com/company/penn-information-systems-computing/. This position is dedicated to supporting
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Antigen Escape and Microenvironment Inhibition DC14: Development of Therapeutic Antibodies for Treating Acute Myeloid Leukemia DC15: Novel preclinically-validated GATA3 inhibitor/degrader as a therapy for
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sustainable and efficient transportation. Since fuel cells have slow dynamics and quick degradation, optimal and predictive energy management control is crucial for maximizing energy efficiency and extending
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(electrical, thermal, and mechanical coupling) using COMSOL/MOOSE/FEniCS and Abaqus for predictive performance analysis. Experimental dielectric and mechanical testing (BbDS, TSDC, DIC, MTS) to evaluate
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, including service desk automation, administrative task processing, and QA testing systems. Create robust, scalable architectures that integrate with existing university systems and accommodate future growth
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safety and efficiency. Artificial Intelligence (AI) and unmanned systems, including drones and robotic crawlers, are being tested to identify structural problems and assess environmental conditions without
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that require local translation of mRNAs transported from the soma via RNP granules. RNP granules are condensates that protect mRNA from degradation in a translationally arrested state. There are many different
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Materials Engineering, Nanotechnology and related areas, with an emphasis on the development and integration of sensors for monitoring temperature, structural degradation and humidity based on printed