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Field
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optimization. We are particularly interested in a) developing novel AI methods for analyzing pathology data, b) multimodal data fusion strategies, c) development of computational methods for rare diseases and
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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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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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models, with a strategic trajectory toward integrating proton-based FLASH capabilities. The successful candidate will play a key role in the delivery, optimization, and evaluation of FLASH RT, working
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. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized
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. Lead synthesis of chemical reactions and design of biomaterials including hydrogels, nanofibers, and microneedles. Design, fabricate, and optimize biodegradable microneedle patches for transdermal drug
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
responsibilities include assay development and experimental execution including assay optimization, sample processing (collected from ongoing cohort study in Malawi), PCR primer generation/selection, quantitative
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dynamics (CFD) 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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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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Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy