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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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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | 6 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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to the vacant position: The Molecular Imaging for Precision Medicine (MIPMED) is looking for a Predoctoral Researcher to participate in the ongoing research projects of the group. The contract will be within
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researcher will be responsible for performing statistical analysis of complex datasets derived from large-scale biological images, as well as proteomic and genomic data. The postdoctoral researcher will
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integration on Quantum Key Distribution systems and encryptors into production facilities following novel networks paradigm such as Software-Defined Networking and Network Function Virtualization.Specifically
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FieldBiological sciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Education and qualifications: Required: Medical Degree Neurologist with an interest in cardiac imaging and monitoring
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position within a Research Infrastructure? No Offer Description Mission: Develop water quality maps through satellite images in reservoirs. Functions to be developed: Develop multi-temporal maps of suspended
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Experience working with suppliers related to visual acuity correction and ophthalmic imaging Desired: Highly organised and methodical person, with strong motivation and initiative Excellent communication
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: Required: Over three years of experience in: Performing OCT, FA, FAF and CFP CFP using SAP management software Working with suppliers related to visual acuity correction and ophthalmic imaging Desired
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on developing new methods for color-specific conditional generation in multi-modal generative models. The candidate will work on exploiting the intrinsic knowledge about color within text-to-image (T2I) models