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traits and structure regulate below-ground microclimate and microbial carbon cycling across spatial scales. You will combine controlled experiments, field observations, remote sensing data, ecosystem flux
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functionality in response to global changes and restoration efforts at large spatial and temporal scales is essential to understand where action is needed and to monitor restoration success. Developments in
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Danish health registry data, you will work with spatial data, such as disease maps and medical imaging. Such data are highly informative but also pose significant privacy risks. Your work will focus
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for major observatories. The center comprises approximately 30 researchers and faculty members, 20 engineers, technicians, or administrative staff, and 30 PhD students, postdocs, or fixed-term contractors. We
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used in 3D groundwater flow simulations to predict BEP potential occurrence spatially. For this you can draw on the Dept. of Physical Geography’s unique expertise on geomorphology, geology and
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boils), and used in 3D groundwater flow simulations to predict BEP potential occurrence spatially. For this you can draw on the Dept. of Physical Geography’s unique expertise on geomorphology, geology and
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trace element distributions at high spatial resolution. The resulting data will be integrated into thermodynamic models (e.g. FACTSage-based approaches) to support process optimisation and control in
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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of the partnerships and to the development of new cross-disciplinary connections between the PIs, doctoral candidates and postdocs from KIT and Heidelberg University. Application Find open positions here: Open