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), the sorption of PFAS and heavy metals onto natural nanoparticles will be investigated in situ using a dedicated field exposure method developed by our team, complemented by laboratory experiments and machine
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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context
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oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. TUD has established
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.) disciplines. GönomiX: Focuses on the evolution of gene regulatory networks and Wnt pathway functions in emerging model organisms (e.g. insects, annelids, snails, flatworms, cnidarians), utilizing ‘omics
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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physiological processes of plant growth, development, reproduction and interaction with other organisms. In a plant’s life, interactions occur at multiple levels: among others, between its plastids and the
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prospective student could also be associated with the recently established DFG-funded Research Training Group ReMPro, further fostering scientific collaborations and career development. Your profile: a
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, conversely, to use clinical observations to develop new research ideas. The aim is to deliver medically relevant benefits to patients and the general population. The BIH PhD Program contributes to the overall
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development support. Live and research in Tübingen, a historic university town known for its innovation, culture, and quality of life. What we offer: Fully funded PhD positions Innovative research projects
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the portal under 'Letter of Recommendation'. 3. Applying online in the DAAD portal (Read notes on applying in the portal >> ) Prepare application documents If necessary, translate documents (unless