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-modal prediction models for breast cancer, using both medical images (X-ray, pathology) and clinical and tumor genomic data. The project AID4BC (AI-based Precision Diagnostics and Decision Support for
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ATAC-seq, and applying bioinformatic methods to interpret data. The work also covers specialized cell culture and laboratory tasks aimed at understanding bone and bone marrow formation at the cellular
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whether thyroid hormone metabolism affects survival following breast cancer. Serum samples and tumour tissue will be analysed in several ways. This information will subsequently be studied in relation
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focused on future advanced communication systems that integrate wireless communication technology and networks, software, data, and security through relevant application areas (advanced digitalization). In
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interviews based on pre-prepared questionnaires. Furthermore, you will perform statistical analyses and quality control of collected material, process data, and compile results. The work will take
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satellite and other observational data to evaluate and verify the model’s accuracy. Assessing the impacts of changes in ice-nucleating aerosols, including those from anthropogenic emissions, on clouds and
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collaboration with local communities. You will also play a key role in training community members in measurement techniques and data management. Data collection and analysis will be an integral part of
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, coherent idea of what you would like to study in our research environment. Computational skills (e.g. data analysis in R and additional experience with a command-line user interface) are also merits
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study of relevant research literature, identification of knowledge gaps, statistical processing and analysis of existing data, and writing both scientific and popular science articles. Course leadership
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of other group members, with access to an office space, computer, and opportunities to participate in seminars, group meetings, and other forms of professional discussions at the workplace. Within the breast