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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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genetic analysis, aiming to elucidate the adaptive potential of species in the face of climate change. You will: Conduct ecological fieldwork at research sites in Sweden and Denmark. Collect and analyse
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of high voltage and humidity on electronic corrosion and involve related electrochemical modeling. You will also focus on designing high voltage test elements and PCBs required in collaboration with other
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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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the shortlisting and assessment process and in order to generate your final assessment, which we will send to you after the assessment work is finalized. The application MUST include the following nine (9) elements
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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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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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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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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