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ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing (with long reads) data. The candidate will get the opportunity to explore new analysis methods using deep learning
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are influenced by different microenvironments. To achieve that we use state-of-the-art single-cell RNA-seq, multiome, and spatial transcriptomics data generation combined with computational analysis to establish
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Nordic Foundation. You will join a vibrant research team led by Prof. Jakob Skou Pedersen that uses generative AI for cancer genomics and single-cell data analysis. Department of Clinical Medicine As a
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detection. Developing and implementing security architectures for BMS based on industry standards, specifically ISO 21434 and/or UNECE WP.29 R155. Performing Threat Analysis and Risk Assessment (TARA), and
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fellow will play a key role in multiple research projects, with responsibilities including study design, data analysis, manuscript preparation, presenting findings at international conferences, and
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temperate and boreal habitats. This multidisciplinary project combines fieldwork, remote sensing (camera and drone-based imagery), and genetic analysis, aiming to elucidate the adaptive potential of species
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induction and Cre/lox systems Tissue processing and immunostaining (including brain perfusion, cryosectioning, immunohistochemistry) Microscopy-based analysis (confocal; light-sheet if interested) Optional
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gene editing, or protein structure prediction Expertise and interest in functional analysis of proteins. Motivation and strong analytical and organizational skills. Strong communication and collaborative
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and ambitious computational postdoc to join us at the Danish Cancer Institute. The postdoc will be responsible for establishing and driving our new bioinformatics platform to perform analysis
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with ferroelectrics PVD of ferroelectric metal oxides and/or oxygen ionic conductors. Experience with defective metal oxides and nanomaterials. Electrochemical characterization techniques (impedance