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] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr
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, 140 PhD students and a technical/administrative support staff of about 160 persons, of which a large majority contributes to our research infrastructure and related commercial activities. Technology for
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tasks include 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
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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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the integration of spatial transcriptomic and metabolomic data. You will report to the Professor Ian Mills/Professor Per Qvist. Your competences You have academic qualifications at PhD level, for example within
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an ongoing large-scale survey study Correlating data with existing baseline and follow-up data Contributing to project deliverables, and Contributing to the synthesis of policy recommendations. The applicant
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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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” funded by Independent Research Fund Denmark and led by Associate Professor Christoffer Basse Eriksen. The project aims to carry out the first large-scale study of the making of the Flora Danica (1761–1883
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the department We seek a candidate with the following qualifications : Required: PhD in wildlife ecology, conservation biology, or a related field Experience with technology-assisted wildlife monitoring (e.g