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or equivalent Specific Requirements Item 01: Academic diplomas (degree and master), related to data & image processing (punctuation: 25) Item 02: Enrolled in a PhD program related to Applied Geotechnologies
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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | 7 days 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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of advanced network functions in next-generation cellular architectures and integration of the resulting data according to the data space paradigm. Where to apply Website https://sede.uvigo.gal/public
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stack data analysis systems and integration of the resulting data according to the data space paradigm. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research
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to establish human–rodent chimeric models of the spinal cord. Evaluate engraftment, human cell integration, vascularization, and neuronal maturation using histology and advanced imaging. Injury induction and
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, chemical synthesis, biomedical imaging. Experience in synthesis of nanoparticles, nanoformulations, surface functionalization, drug loading and release. Experience in cell culture and study of cell toxicity
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PROCEDURE FOR DRAWING UP OF PREDOCTORAL
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potential application in the development of contrast agents for Magnetic Resonance Imaging (MRI) and radiopharmaceuticals for diagnostic purposes. Center: Interdisciplinary Center of Chemistry and Biology
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theory and computational modelling) to apply their skills to the fascinating field of evolutionary processes across biological scales. COSMA LAB Stem Cells | Chromatin | Super Resolution Imaging | Genome
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organization. We invite applications from motivated candidates with passion and a strong interest in conducting research and innovation activities on crop modeling, remote sensing, and computer vision to predict