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operation. For this role, we seek candidates with strong expertise in biosolutions for large‑scale production of food and feed proteins and platform chemicals. Work will involve substrates such as CO₂, H
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quality radiotherapy of cancer patients, using large-scale medical images primarily from Denmark. Read more about the project on our website . It is funded by the Novo Nordisk Foundation. The research
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tasks. Your tasks: Your tasks will involve assistance to our research team, especially in helping us to organize literature, gather, clean, and organize data, and support us in implementing experimental
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quality and functioning, particularly in plumes near river outlets. This post doc project will rely on existing data as well as new field data of nutrients, carbon, and stable isotopes from riverine-coast
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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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geological interpretation of large-scale EM data for groundwater mapping. Teaching and training Ethiopian partners and students in EM methods, data processing workflows, inversion software, and geological
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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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be developed and implemented in the GEOS-Chem chemical transport model, coupled to the Community Earth System Model. Standardized large wildfire events will be simulated based on historical data and
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but not limited to: Use AI techniques, including the development and application of large language models (LLMs), for text analysis of memory reports according to specific research aims. Content coding
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research group "AI and big data in Radiation Oncology" (read more about the group here: https://www.en.auh.dk/departments/the-danish-centre-for-particle-therapy/research/research-groups/artificial