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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours 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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tumours, across different imaging modalities. Development of AI-driven radiomics models and predictive analytics for cancer diagnosis, treatment planning, and response assessment. Implementation of robust
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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state-of-the-art tools and AI libraries developed at the TU/e, such as GameBus and Experiencer. The collected data forms the basis for developing predictive AI models that tailor coaching content and
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Brest, Bretagne | France | 1 day ago
are currently retreating and are predicted to further shrink into the 21st century. Reductions in sea ice have major implications on the climate, the ecosystems, and on human societies. Reliable
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to correct or account for these biases, and build predictive models that simulate biological responses to in silico perturbations such as genetic or pharmacological interventions. The project aims to advance
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). The grant aims to develop and implement the following activities: 1) Monitoring the implementation of the "NIZO" project, within IPC tasks; 2) Predictive analysis; 3) Development and implementation
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, as well as doctoral students, post-doctoral fellows, interns and/or volunteers. More details on https://tourduvalat.org/en/ Background and objectives Climate change is a major pressure on ecosystems
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and with the 2AT team at Institut Pprime to develop an innovative jet-noise prediction tool. The researcher will develop a novel jet-noise prediction tool based on a resolvent analysis of the Navier
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model introduced previously for carburizing will be further developed in this study. In this model, carbon diffusion is predicted using Fick's law and finite difference scheme. A source term accounts for