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at Kyoto University, and includes a research exchange. Analyze imaging data using Imaris and custom software. Conduct single-cell TCR and BCR analysis, and RNA transcriptome profiling of relevant T and B
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. But we consider all types of data, from full complexity climate models, to turbulence models, to in situ data. The work will be at the interface between data analysis and theory. We are also open to
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Fluent oral and written communication skills in English Prior experience with methodological research, as evidenced in relevant publication(s) Proficiency in programming and data analysis in
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analysis), code development, and numerical simulations. Access to high-performance computing facilities and datasets from laboratory experiments will be provided to support simulation and verification
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ageing studies along with diagnostics (e.g., PD and dielectric spectroscopy) gives insight in the relevance and information that could be derived from PD measurement. This should be combined with analysis
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. We seek a candidate with a strong background in one or more of the fields of rock physics, petrophysics, seismic attribute analysis, seismic inversion (both pre- and post-stack inversions), and machine
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seismic inversions, to enable robust AVO analysis, and for upscaling of heterogeneous media. These are all important tasks in seismic subsurface characterization, both related to reservoirs and CCS
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software. Conduct single-cell TCR and BCR analysis, and RNA transcriptome profiling of relevant T and B cell subsets. Colourbox via Unsplash Colourbox Qualifications - The Ideal Candidate We are seeking a
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. Demonstrated experience generating paleoenvironmental data, notably using lake sediment proxy approaches (for example, XRF and CT core scanning, as well as grain size analysis) is a requirement. Experience with
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performed in close collaboration with experienced team members. Additionally, the candidate will acquire skills in performing in vivo PET/SPECT and MR/CT imaging experiments and data analysis. The candidate