978 evolution "https:" "https:" "https:" "https:" "https:" "Linköping university" 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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of agri-food origin with preventive or therapeutic effects. Nutrition across the life cycle: impact of diet on maternal health, child development, healthy aging or frailty. Digital tools and clinical
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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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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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. 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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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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MSc degree in Data Science. More information about the department can be found at https://imada.sdu.dk/ . Application deadline: 15 december 2025 at 23:59 hours local Danish time Please see the full call
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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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(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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, 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