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practices. Within this framework you will: extend and use a process-based modeling approach which explicitly represents microorganisms and biomolecule functioning in soil systems. use process-based modeling
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Description Glyphosate is the most widely applied herbicide on Earth and accounts for 92% of the herbicide global use (Antier et al., 2020). In Europe, 25 – 64% of annual crop acreage was treated
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to understand English and express themselves fluently in speech and writing Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able to teach you
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Additional Information Benefits Full-time employment contract form TUDa, co-funded by the EU until the end of the program in March 2029 International and structured PhD program Interdisciplinary supervision
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
for selected electro-organic transformation in detail: Design, validation and verification of online and offline analytical methods Design, synthesis, and characterization of catalytic materials Utilization
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to the success of the whole institution. At the Faculty of Environmental Sciences, Department of Forest Sciences, Institute of Soil Science and Site Ecology, the Chair of Soil Resources and Land Use offers a
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sustainable packaging materials and textiles. However, its use in mass production is limited by its inability to melt like conventional thermoplastics. This limitation arises from the strong intermolecular
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language models (LLMs) Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g., Git) Interest in or experience with semantic web
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environment Immunity status Please note that employment is contingent upon proof of immunization or immunity against the measles virus, in accordance with applicable legal and medical requirements
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available on site for the development of suitable radiotracers. One focus of the work is on the use and evaluation of large tomographic data sets to derive parameter data for reactive transport modeling