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: Establish and develop experimental protocols and pipelines and implement data management compliance. Presentation of your work in various meetings (locally at the department, national and international
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industry-facing research collaboration and coordinate cross-partner workflows in planning, data-sharing, and iterative decision-making across industrial and academic stakeholders. Teach and supervise PhD
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Smart Energy Systems towards climate neutral societies. The research will have both national and regional perspective, to a large extend focusing on Denmark but also with international perspectives
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research in deep learning models for multi-sensor satellite data (e.g. SAR, SMAP) within a large international research project on AI-driven solutions for groundwater management. Expected start date and
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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researcher for a two-year position within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). By leveraging agentic Large Language Models (LLMs), the project will develop
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requirements using pilot-scale or simulation data Publish high-impact research results and present findings at international conferences Contribute to proposal writing and joint projects with academic and
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of the model will largely be built on existing datasets from large scale wave flumes. These datasets will not involve actual swash zone processes, but rather measurements of coastal profile development from
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The project aims to examine the mechanical behavior of soft scaffolds with different architectures, with the goal of (a) mimicking the behavior of native tissue and (b) tailoring the large deformation material
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planning, conducting, and publishing epidemiological studies using large-scale observational data, primarily register-based, focusing on women’s short- and long-term health outcomes within the specific work