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Field
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. Proficiency in bioinformatic pipeline development and optimization. Experience analyzing and interpreting multi-omics datasets. Strong background in statistical analysis and data integration. Experience with
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. Implements and optimizes computing workflows using high-performance computing clusters. Prepare manuscripts, abstracts, and presentations, present findings at internal meetings and international conferences
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modeling tools to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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neurodegenerative disease • Develop and optimize synthetic biological circuits, including synNotch receptors and CAR systems • Conduct cell culture, molecular cloning, and protein engineering experiments • Perform 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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for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine
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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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and optimize molten salt thermophysical property measurements, develop and utilize theoretical models and frameworks to predict salt properties, molten salt thermophysical property database expansion
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to): Design and conduct independent research projects focused on brain aging and age-related neurodegenerative diseases, particularly Alzheimer's disease. Apply and optimize advanced spatial biology techniques
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development/engineering skills. · Mathematical proficiency, with a focus on subjects including linear algebra, vector calculus, optimization, and statistics/probability. TO APPLY: Please visit https