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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python
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main tasks will consist of: Independent research of high international quality, including publication. Strong interest in cancer biology. A desire to work with in vivo models. Additional specific tasks
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who has A PhD in Plant Molecular Biology, Plant Biotechnology or similar Collaborative skills and ability to demonstrate commitment in teams A fondness of taking the initiative and the motivation
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. The candidates must hold a PhD in Chemistry/Physics. Experience in data framework development, kinetic/thermodynamic modeling, and collaborative interdisciplinary research. An education history in chemical
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include psychiatric disorders as well as clinical and social outcomes, but specific tasks may depend on applicants. The positions will generally involve various data analyses using Danish register data and
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-year extension. The project is fully funded by the Independent Research Fund Denmark (DFF). The main objective of this project is to develop physics-constrained, data-driven turbulence models
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design and scaling for electromethanogenesis. The position is based at the main campus at Aarhus University and is expected to begin on 1 May 2026, or as soon as possible thereafter. The postdoc will be
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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