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(e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing, transcriptomics data, Nanopore long read sequencing analysis and/or
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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its features, it enables joint fits of heterogeneous data sets e.g. from different event types, from differents gamma-ray instruments. Some work have also demonstrated that multi-wavelength (from
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, and European projects on the topic Publish research findings in the prestigious peer-reviewed journals and present at relevant conferences Contribute to different research projects, either coordinating
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, and reproducible computational environments supporting large-scale analyses in Linux and HPC environments helping maintain and improve the group’s computational infrastructure collaborating closely with
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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
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assimilation (DA) system with a variational DA approach. Perform ocean OSEs, with various DA cycling and different data windows, and conduct hurricane predictions using the coupled Hurricane Analysis and
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interrupting each other. Furthermore, these characteristics occur differently depending on the scale at which the fault traces are analyzed: while a fault trace may appear continuous and simple at a given scale
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on a high performance computing platform running Linux and a job control system such as PBS or SLURM. Ability to use various software for composing a manuscript and plotting figures and maps suitable
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(e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing, transcriptomics data, Nanopore long read sequencing analysis and/or