69 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" "U.S" positions at Nature Careers in France
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. The monitoring of telecommunications and energy production and distribution networks are characteristic examples of such time-critical applications. The project aims to propose unsupervised online CPD algorithms
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only to healthy knee bone structures in the context of elective orthopedic surgery [5, 6]. Moreover, many of these models are developed by private companies for implant placement, limiting accessibility
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molecular targets critical for developing new therapies for rare diseases, based on genetic data and biological system simulations. -Computational Drug Repurposing: Developing novel algorithms and databases
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algorithms will be developed to extract discriminative and predictive features from a multimodal dataset consisting of digital histopathological images, lung CT images, clinical, genomics, and multiproteomics
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modeling the dynamic of the data evolution is clearly important. The purpose of this postdoc position, within the Institut 3IA Côte d'Azur (Univ. Côte d’Azur & INRIA), will be focused on the development and
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driving force in the development of innovative instrumentation and methodologies for synchrotron X-ray techniques and cryo-electron microscopy/tomography (cryo-EM/ET), and plays a leading role in
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procedure. In this context, the proposed PhD project aims to develop an innovative strategy to evaluate the efficiency and quality of surgical care. This strategy is based on data science, combining
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reproducible scale-up protocols and develop standard operating procedures. Support multiple projects within the group requiring scale-up and contribute to cross-functional teams. Interface with external partners
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postdoctoral experience(s), including at least one abroad, demonstrated through multiple publications showing ability to autonomously develop research themes • Solid experience with host-pathogen interaction
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initiation. To this end, researchers are focusing on the development of new data-driven approaches integrating imaging information and patient physiological characteristics to improve the simulation and