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Kasper Heintz’ group to work on observational projects on star and galaxy formation in the early Universe with cutting-edge data from JWST and ALMA. Applicants with interests and potential experience
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econometric methods for analysing large datasets. Are proficient in coding and data management using tools such as Stata, R, or Python. Have a strong interest in the research area and have a strong independent
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pharma, health, or data science, with responsibility for stakeholder engagement and communication Desirable Experience Working with Danish and European funding schemes Organizing large-scale international
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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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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extensive use of surface science methods and also includes the most advanced methods of microscopy through its collaboration with VISION. Visiting large scale facilities such as synchrotrons for EXAFS and
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, synthetic biology, data science and automation, and we collaborate closely with both academic and industrial partners. To strengthen our shared experimental infrastructure, we are establishing a central
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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of Copenhagen (UCPH) and European Spallation Source. The European Spallation Source (ESS) in Lund (SE) is a future large-scale research facility for neutron-based investigation of materials in a broad
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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