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Three-Year Postdoc Opportunity in Ecosystem Structure, Functions and Services in Offshore Marine ...
monitoring tools such as eDNA, underwater microphones and cameras. Specifically, you will concentrate on gathering data associated with these tools and investigating ecosystem interconnectedness and
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for large-scale immunological and proteomic studies (e.g., Olink, MSD, etc). Lead data analysis and integration of omics datasets, contributing to scientific manuscripts and grant proposals. Provide
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qualifications: Strong skills in structural modeling (preferably discrete choice models or matching models). Proficiency in Python or R for data processing, modeling, and simulation tasks. Experience with large
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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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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
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section,which focuses on designing, developing, and applying interactive computing technologies. More information can be found on our website: https://www.cs.aau.dk/research/hcc-human-centered-computing
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Associate Professor Luca Vezzaro. You can read more about DTU Sustain at https://sustain.dtu.dk/ If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU
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date of 1 June 2026. They are well suited for early-career researchers interested in policing and politics, and who want hands-on experience working with large-scale quasi-experimental data. The project
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interpreting large-scale spatial transcriptomic data from multiple clinical trial. You will collaborate with an interdisciplinary teams of scientists and clinicians to develop bioinformatics pipelines and tools
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the Human-Centered Computing section,which focuses on designing, developing, and applying interactive computing technologies. More information can be found on our website: https://www.cs.aau.dk/research/hcc