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Description Postdoctoral Researcher in Mineral Processing, Battery Materials, and Sustainable Process Engineering. The researcher will join a multidisciplinary research program aimed at optimizing natural
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experiments to understand and improve tool performance, and – most importantly – by summarizing findings in white papers and application notes. A full job description can be found here: https://mitnano.mit.edu
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for internal and external projects, bringing it up to industry standards. You will Develop and optimize the specificity assay for biologics, with technical support. Identify and assess innovative applications
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, and how signaling pathways integrate with physical constraints to ensure an optimal balance between lipid storage and energy production. By combining quantitative biophysics, advanced imaging, and
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of Norway through the “Arctic MSCA-PF program”. Successful postdoc candidates will be invited for a two-day MSCA-PF symposium June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no
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through the “Arctic MSCA-PF program”. Successful postdoc candidates will be invited for a two-day MSCA-PF symposium June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no/arcticmsca
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- or low-temperature) batteries, lithium- and/or sodium-based batteries, and solid-state batteries. Key Responsibilities: Design and execute experimental plans to develop and optimize next-generation battery materials
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North Carolina A&T State University | Greensboro, North Carolina | United States | about 2 months ago
ingredients on human health outcomes. This includes designing, executing, and optimizing in vitro cell culture and microbiological experiments relevant to gut microbiome function, diabetes, lipid dysbiosis, and
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specialized in instrumentation / electronics. NMR/MRI acquisition sequences: implementation, optimization of standard sequences and innovation at very low field, with a focus on acceleration procedures and
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future of the C4 grasslands of the world”. We will develop a novel approach for simulating C4 grasslands in interaction with C3 grasslands and trees based on Eco-Evolutionary Optimality (EEO) within