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Are you interested in working with sensitive health data and making a real impact on how it can be used safely and responsibly? At the Center for Clinical Data Science (CLINDA), Department
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of novel methods to decompose the heterogeneity of psychiatric disorders, particularly ADHD, using large-scale genetic, imaging, and epidemiological data from Denmark and other countries. You will apply
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time or other disturbances. If these problems remain unidentified, they can result in incorrect clinical decisions and poor patient management. In this PhD project, you will collect experimental data
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hygienisation and other biosecurity barriers interrupt them. Using a risk-informed longitudinal design, the candidate will sample linked compartments including incoming biomass vehicles, reception and unloading
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framework of the project. Depending on the research question, possible methods could include qualitative fieldwork, interviews, case studies, surveys, experiments, or other relevant forms of data collection
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understanding of early metabolic dysfunction. To achieve this, we integrate data across multiple biological scales, from genetic variation and single-cell molecular profiles to clinical phenotypes collected in
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observational data, climate model output and regional ocean modelling. Develop and apply a high-resolution hydrodynamic CROCO model, linking model output to the FlexSem model for modelling carbon transport
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start date 1 February, 2027. Further details and application instructions are available by clicking the 'Apply' button The webpage includes brief subject descriptions and links to individual PhD stipend
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in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education
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to analyze and learn from the delivered care and outcomes. Here, AI, particularly NLP, has great potential to extract, structure, and analyze clinically relevant information from these unstructured narratives