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play a central role in developing, evaluating, and interpreting deep learning models for multi-sensor satellite data, addressing challenges such as spatiotemporal learning, super-resolution, and model
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will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental
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research of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and guidance. Your main tasks will consist
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of the project is to map these states with Scanning Tunneling Microscopy/Spectroscopy (STM/STS) and where possible, angle-resolved photoemission spectroscopy (ARPES). Your work will focus on the spectroscopy, and
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. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the
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. Place of work will be Aarhus University, Jens Chr. Skous Vej 5, 8000 Aarhus C. The university is keen for its staff to reflect the diversity of society and thus welcomes applications from all qualified
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the university is an inclusive, welcoming, and inspiring place to work and study, regardless of age, disability, gender reassignment, marital status, pregnancy and maternity, race, religion, sex, or sexual
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unprecedented insights into the multilayered narratives of the varied individual experiences in antiquity. The postdoc will work closely with Professor Rubina Raja and other project members. Tasks include work
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The Department of Biological and Chemical Engineering, Aarhus University, invites applications for a postdoctoral position offering an exciting opportunity to contribute to the work on reactor
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Radiation Oncology within the AIM@CANCER research center as per 1 April 2026 or as soon as possible thereafter. The position will be combined with a function in the Danish Data Science Research Infrastructure