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Background/Motivation: For the detection of erotic and pornographic images, models that can recognise human skin, body parts, or scenes are often used. With the help of appropriate datasets [1
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staff position within a Research Infrastructure? No Offer Description Job Description: Conducting research and scientific management of the entire project Design and modeling of new materials Work with
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muscle, and other organs. We use molecular and cellular biological approaches in addition to substantial work conducted in mouse models of metabolic disease. Current projects are focused on the regulation
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for teaching, innovation, care, and service. Six goals, backed by specific strategies, guide our organization as we move forward. Read more at https ://cvm.msu.edu/about/strategic-planning-2021-26/goals
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, or generative AI related to materials. The successful candidate will independently lead a project focused on developing generative AI models to establish structure-property relationships for materials discovery
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
focused on the classification and characterization of human and animal models tumors through the study of gene expression patterns, tumor DNA copy number changes, and DNA somatic mutations identified using
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Details Title Postdoctoral Fellow – PKPD Modelling, Lung-on-Chip School Wyss Institute for Biologically Inspired Engineering Department/Area Position Description About the Wyss: The Wyss Institute’s
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and regression and/or choice models to identify the determinants of private label acceptance and their relationship to sustainable consumption and waste. The output of the work will be a model of the
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. Experience with lipid biochemistry. TO APPLY : Please click on this link to submit your application: https://academicjobsonline.org/ajo/jobs/31850 Detailed info regarding application materials required: Cover
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materials science by integrating physics-based simulations with data-driven analysis of cutting-edge synchrotron radiation facility data. By combining experimental data with physical models, we establish