796 image-coding-"Foundation-for-Research-and-Technology-Hellas" Fellowship positions
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on quantum metrology for two-dimensional and three-dimensional imaging applications, focusing on derivation of fundamental limits and quantum enhanced strategies for discrimination and estimation of physical
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image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary research. About the Role The role includes carrying out fundamental plant science research related to a
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to develop magnetic resonance imaging (MRI) methods to advance electrochemical flow technologies, which are emerging as promising more-sustainable solutions for the global challenges of energy storage
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inversion of gravity gradient data, contribute to the development of data interfaces for multi-modal sensor integration, and perform advanced data processing and inference to support subsurface imaging and
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passionate plant science researchers, bioinformaticians or remote sensing/data scientists with skills in image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary
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characterizing devices for extreme radiation environments, including new materials and detector configurations. Hard X-ray and Gamma-ray imaging (Tadayuki Takahashi, Manabu Togawa) This project develops a hard X
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untargeted LC-MS analyses of biological samples. Experience with imaging methods such as IncuCyte, confocal microscopy and FLIM, for the analysis of subcellular cofactor concentrations using fluorescent
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research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding
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partner/stakeholder sites. [Technical candidates] Design and develop prototype and testbed systems that will be deployed to community partners and stakeholders. All candidates will be expected to support
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research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding