998 evolution "https:" "https:" "https:" "https:" "ESPCI Paris PSL" uni jobs at Nature Careers
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
of this project requires the design, development, and training of an artificial intelligence algorithm capable of automatically segmenting the bony structures of both healthy and fractured tibial plateaus
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levels), health benefits (i.e., medical, prescription, dental, vision), and a professional development allowance. Fellows receive a professional development allowance, research allowance, a personal
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. Applications are invited for Principal Investigator (PI) at Center for Life Sciences (http://www.cls.edu.cn/english/ ). As a pilot program of the National Plan for Education Development and Reform, Center
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: 02/18/2026 Prae Doc https://servicedesk.univie.ac.at/plugins/servlet/desk/portal/89/create/1277
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and inspiring workplace with exciting challenges, enthusiastic colleagues and academic opportunities for development. The department wishes to support employees in creating a good balance between their
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dissemination of research findings and to enhance the rigor, relevance, and accessibility of research outcomes for diverse populations. All application materials must be submitted through Interfolio: https
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(overseas). https://www.nsfc.gov.cn/publish/portal0/tab948/info91706.htm Remuneration and Welfare Guarantee Successful applicants of the Excellent Young Scientists Fund (overseas) may apply for tenured and
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, or diagnostic information from images, (4) generation of counterfactual explanations to help extracting new insights from biological datasets, and (5) the development of computational models of cell and tissue
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the Center for Pediatric Neurological Disease Research (CPNDR) [ https://www.stjude.org/research/initiatives/pediatric-translational-neuroscience-initiative.html ]. The CPNDR is currently recruiting
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, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607