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information for three references. Review of applications will continue until the position is filled. For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp
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hydrology, hydraulics, environmental sciences or signal processing. A strong expertise in scientific programming (Python, MATLAB) is required. Knowledge of machine learning or deep learning will be a
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
and teaching, the professorship will represent functional cardiovascular imaging with a focus on hemodynamic modeling and act as a bridge between basic research, medical technology development, and
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to applications and information stored within the network. Specifically, regulations regarding PCI and FERPA data. Stay current with new computer technology and understand how these relate to ongoing problems and
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27 Mar 2026 Job Information Organisation/Company Universite de Montpellier Department Human Resources Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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Engineering. SFBU's mission is to offer inclusive, innovative, and inspirational education for lifelong careers and our vision is to set the standard as a national model of higher education in service
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-assisted image analyses. Candidate must be capable of working independently but importantly must be willing to work as part of a team. The RAI will participate actively in bench research as well as data
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extensive knowledge on zooplankton imaging techniques ability to program and train machine learning models for automated image classification experience with shipborne campaigns and ready to join multi-week
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fundamental and translational aspects of infectious disease (germfree/gnotobiotic animal facility, organoid cultures, T-cell engineering via CRISPR/Cas9 technology, in vivo imaging, animal models, microbiome