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-time employment (currently 38.7 hours/ week.). Impedance based modelling and digital twin of grid-forming converter for study of unbalanced grid faults for Marie Skłodowska-Curie Actions (MSCA) Doctoral
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
models of SIV/HIV infection or other viral infection models with expertise in flow cytometry, tissue culture, and cellular immunology to facilitate translational research at the clinical/basic science
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
models of SIV/HIV infection or other viral infection models with expertise in flow cytometry, tissue culture, and cellular immunology to facilitate translational research at the clinical/basic science
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resilience to current and future forest disturbances and assess the implications for forest ecosystem service supply. The main methodological approach applied will be forest landscape simulation modelling
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? No Offer Description The research assistant will be responsible for analyzing mathematical models and algorithms for tracking gas composition in CO₂ pipeline transport systems, as well as for detecting
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advanced laboratory techniques (e.g., flow cytometry, cell culture and 3D models, molecular analyses) Analyze and interpret experimental data; contribute to data presentation and publications Ensure timely
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caliber that meets the standards for top-tier AI conferences (may be currently under submission). Certifications/Licenses Required Knowledge, Skills, and Abilities Proficiency in Large Language Models (LLMs
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. Through integrated approaches combining molecular biology, transcriptomics, and functional assays in cellular models, the factors involved in bile flow dysfunction and the progression of liver damage will
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Job related to staff position within a Research Infrastructure? No Offer Description The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong research