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also attach any other documents they consider relevant to assessing their merit. 16.6. The documents can be integrated into folders with a compressed format (zip, rar, 7z). However, it is necessary
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Recruit University of California, San Francisco Accessibility About California Consumer Privacy Act (CCPA) Opt-Out Icon Privacy Policy © 2007-2025 The Regents of the University of California. All rights
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projects. Familiar with text or image data processing, machine learning, or data visualization tools. Long-term interest in pursuing a Ph.D. in a business-related field. Compensation and Benefits Competitive
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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | about 2 months ago
Research Infrastructure? No Offer Description Master’s degree in Agronomy. Research Line: Image analysis and early detection of pests and diseases in greenhouse crops. Where to apply E-mail ceigram.etsiaab
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; Machine Learning• Clinical pathways and decision support for patients with acute chest pain• AutoPiX – Explainable Deep Learning for Multimodal and Longitudinal Imaging Biomarkers in Arthritis• Speaking
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overheating models by integrating TIR imagery with energy flux data, building physics parameters, and local weather conditions. Apply machine learning techniques for TIR and other open-source image analysis
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combination of high-end microscopy combined with fluorescent biosensor imaging, optogenetics and genetically-encoded molecular tools enabling subcellular manipulation in vitro and in vivo. She/He will also work
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environment, with access to state-of-the art brain imaging facilities (two research-dedicated MRI scanners / 1.5 and 3T, hybrid PET-3T MRI, MEG-EEG). The vibrant research community at CRNL and other nearby
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opportunity to conduct independent research under the mentorship of a Duke faculty member, preparing you for a full-time academic or research career. You’ll work on an R01-funded project, analyzing imaging data
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genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology, which may also then be used