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ambitious researcher with a strong background and experience in biomechanics, finite element modelling (FEM), medical image processing, additive manufacturing (AM). The project will be carried out in close
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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mouse and hamster models. The projects in the lab include assessing the role of T and B cell immunity on virus infection and transmission, evaluating innovative virus vaccines, as well as developing
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will contribute to high-impact projects, including: 1. Developing and validating algorithms that extract data from the Epic EHR (e.g., large language models) via comparison with manually extracted data
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immunotherapies. The successful candidate will play a pivotal role in modeling the complex tumor microenvironment and its dynamic interactions with therapeutic immune cells. While expertise in in vitro
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on the evolutionary mechanisms of chromosome segregation in mammals, using mouse oocytes, preimplantation embryos, hybrid mouse models, and/or tissue culture cells. Position Number: RC2910 Anticipated Salary: $65,000
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, and related laboratory techniques. Proficiency in developing and running BSL2 small animal infection models for bacterial and fungal pathogens. Proficiency in mammalian cell culture, microscopy imaging
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of Engineering, with a focus on advanced solid oxide fuel cell (SOFC) modelling, three-dimensional combustion and engine simulation, and AI-assisted modelling approaches for hybrid marine propulsion system
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on coastal hazards and resilience. Topics include: Assessment and mitigation of compound hydrologic hazards. Effectiveness and resilience of nature-based solutions for coastal management. Integrated modeling
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Postdoctoral Position in Computational Humanities to Research the Macroevolution of European Literat
Max Planck Institute for Empirical Aesthetics (MPIEA) | Frankfurt am Main, Hessen | Germany | 3 months agounderstand the forces driving the long-term dynamics of literature, film, and other arts. To this end, members of the group rely on large cultural datasets, computational methods, and theoretical models