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characterization. Experience performing physical‑chemical analyses and electrochemical measurements. Experience in manufacturing and processing polymer films from a variety of polymer sources. Department/Program
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
turbulence. The successful candidate will work with Professor Greg Chini at the University of New Hampshire (UNH), in the Department of Mechanical Engineering and Program in Integrated Applied Mathematics, and
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Computational modeling of metal alloys using an Integrated Computational Materials Engineering (ICME) approach. Responsibilities: 60% Perform research on the microstructural evolution of metal alloys during
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, experimental methods, or computational modeling relevant to materials science research. • Experience working as part of an interdisciplinary research team. • For postdoctoral or research associate roles
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
. This work bridges fundamental science and applied membrane design, contributing to the development of next-generation membranes. The successful candidate will work collaboratively with a team of computational
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Science at Fred Hutch Recent advancements in statistics, computational techniques, and experimental technologies are transforming how we generate and analyze data. This big data has big potential
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findings at scientific conferences. Position Requirements Ph.D. completed within the past 5 years, or soon to be completed, in physics, materials science, chemistry, computer science, applied mathematics
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Center for Biologics Evaluation and Research (CBER) | Southern Md Facility, Maryland | United States | about 2 hours ago
with advanced machine learning approaches. The research will involve assay development, metagenomic (mNGS) sequencing, and bioinformatics analysis to advance regulatory science and enhance the safety
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tools, bulk and single-cell RNA sequencing technologies, computational biology, and a background in tool development to accomplish the goals of this project. Additional experience in proteomics and
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Electrical Engineering. The work will be conducted in collaboration with the Behavioral Neuroscience program in the Psychological Sciences department (Ian Stevenson), the Electrical and Computer Engineering