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circulating tumor DNA, with comprehensive tissue-based profiling methods such as gene expression analysis, DNA sequencing, single-cell sequencing, and spatial transcriptomics. These high-dimensional data
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tissue-based profiling methods such as gene expression analysis, DNA sequencing, single-cell sequencing, and spatial transcriptomics. These high-dimensional data are analyzed using advanced bioinformatic
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and analyze relevant data and information. Develop and use TIMES-based models. Scenario analysis and communicate results from the analyses. Write scientific journal articles both individually and
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omics data analysis. A high level of self-motivation and independence, good problem-solving skills, and the ability to work collaboratively in an interdisciplinary research environment. The ability
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laboratory tests, analysis of data, and modeling. Qualifications To be eligible, you must have a master’s degree in materials science or chemistry. You should have basic knowledge of building materials and be
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journals. The tasks will include laboratory tests, analysis of data, and modeling. Qualifications To be eligible, you must have a master’s degree in materials science or chemistry. You should have basic
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omics data analysis. A high level of self-motivation and independence, good problem-solving skills, and the ability to work collaboratively in an interdisciplinary research environment. The ability
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of microbiome and clinical data; experimental studies of microbial adhesion and biofilm formation; analysis of carbohydrates and proteins involved in host–microbe interactions; and protein profiling
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the MIDA – Methods for Image Data Analysis – research group at the Department of Information Technology, and will be conducted alongside other researchers at the Centre for Image Analysis who develop
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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming