796 image-coding-"Foundation-for-Research-and-Technology-Hellas" Fellowship positions
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strongly encouraged. Applicants should not feel obliged to focus on a traditionally identified paradigm. The ideal candidate for this Research Fellowship will have a strong background in a relevant area of
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pharmacokinetics, and mass spectrometry imaging of small molecules, endogenous metabolites, lipids, proteins on tissue sections. PhD degree in analytical chemistry, chemistry, pharmaceutical sciences, pharmacology
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experiment or modelling methods. Good knowledge in laboratory work as well as engineering of prototype system. Assist in postgraduate student supervision. Capacity to conduct small group teaching such as
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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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availability.Applicants should have a PhD degree with research experience related to neuroscience or biomedical science/engineering or two-photon in vivo imaging. Experience in animal handling, behavioral experiment
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with the Department of Medical and Translational Biology and the Department of Statistics at Umeå University, as well as Umeå Center for Functional Brain Imaging (UFBI). The research environment conducts
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. The development of novel immunologic techniques and applying novel technologies will be included in this effort. Collaboration with pathologists for correlations with tissue imaging and with computational
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2025-0079 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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of custom computer code, and the processing of large-scale simulations using massively parallel resources such as NERSC and Raj cluster at Marquette. Conduct research with a significant degree of independence
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, government, third sector or the public. Highlight a case in which you translated complex AI concepts for a non-specialist audience and indicate the outcome (policy change, prototype, engagement metrics, etc