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Field
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applications of stochastic and (distributionally) robust optimization (SRO) and foster interdisciplinary research collaborations to address emerging real-world problems in various application domains, including
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protocols of interest are 61, 62 (bioburden testing), 71 (sterility testing), and 85 (bacterial endotoxin testing). The researchers will be asked to optimize lab-specific protocols and run the protocols at a
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responsibilities include: Leading experiments to optimize Cas9/gRNA complex delivery into oocytes of diverse marine phyla, potentially utilizing techniques like microinjection or targeted incubation. Developing and
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. Work with NSLS-II automation team and engineering support staff to develop the next generation of robotics and sample preparation protocols for XCFS. Optimize crystallization systems for XCFS campaigns
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to optimize lab-specific protocols and run the protocols at a larger scale for prototype testing. The candidate is also expected to perform the biological testing detailed in the aforementioned protocols in
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Description The Quantum Information team at UMass Amherst is involved with modeling and optimization of quantum hardware, as well as development of new modeling methods and algorithms, in collaboration with
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design of hyperstable miniprotein binders using advanced computational platforms. The work integrates protein modeling, in silico affinity optimization, and mechanistic studies aimed at modulating key
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based electrophysiology laboratory for awake mouse studies, including microfabrication, electrode integration and optimization of laboratory best practices. At least 3 years of experience with
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, use of microscopes, data acquisition, inverse problems in imaging, optimization methods and image estimation and in particular knowledge in methods for super resolution structured illumination
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spatial transcriptomic data using R or Python; interprets findings in the context of transplant immunobiology. Establishes new research protocols and procedures: Develops and optimizes protocols