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ensure consistency and best practice implementation within a shared services model. The position will oversee talent acquisition, performance management, staffing updates, disciplinary actions, and all HR
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procedures. Check models for basic anatomical features and material flexibility and record observations as directed. Record findings from laboratory activities in reports. Support the development of standard
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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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, 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 | about 21 hours ago
the School’s Strategic Plan (https://pharmacy.unc.edu/about/oe/strategic-plan/). Our Vision is to be the global leader in pharmacy and pharmaceutical sciences. Our Mission is to prepare leaders and innovators
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of how casting-induced defects and microstructural heterogeneities influence fracture behavior, and to develop improved modelling approaches for predicting failure in these materials. Duties
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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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sequence-function landscapes, using a combination of empirical data and ML methods (e.g. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern
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include work on patient material, cell lines and primary cells. The work may also contain handling of animals and studies in animal model systems. Methods used in the studies include biochemical methods, as
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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