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impact and cutting-edge research across all Departmental research nodes (Fundamental Sciences; Big Data/ICES; Surgical Education; and Quality Improvement/Clinical outcomes). The Division of Urology
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large databases is required. The candidate is expected to partake in design of the epidemiological studies, statistical work (SPSS but also other programs such as R), presentations and preparation
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research work will be to devise efficient algorithms for source separation in DAS measurements. Issues such as large data volumes that can exceed 1 To per day and per fiber, instrument noise, complex nature
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generating, mobilising, and harvesting “big data” to create a dynamic and agnostic collection of information and deliver a new class of research that will enable a better understanding of the clinical
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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Dynamics (W-0042 | all genders) to head the Weather-Climate Interaction Group, which aims to advance the fundamental understanding of how small-scale processes influence large-scale climate patterns
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Gender and diversity competence Experience in designing and managing large research projects Enthusiasm for excellent teaching and supervision at the bachelor's, master's, and doctoral level Willingness
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• The advancement of light-microscopy methods to peer even deeper into large tissues • The development of computational methods ranging from image processing to machine learning to analyse, segment, model, and
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maintain pipelines for the analysis of high-throughput sequencing data, including RNA-seq, ChIP-seq, ATAC-seq, and single-cell and spatial omics. Integrate machine learning and large language models (LLMs
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that unites leading researchers across Denmark and the University of Oxford (UK) to advance data-driven precision medicine by integrating large-scale register, clinical, and multi-omics data