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the target of achieving perfect / good removal and selectivity. The list of contaminants will be expansive, from steroid hormone micropollutants to pesticides, pharmaceuticals, and fluorinated organic
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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. In research and academic
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If registered at BerGSAS application portal ( https://application.berliner-antike-kolleg.org/bergsas ), you will find at the bottom of the form the list documents required. This includes among other things
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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry
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Berlin) and by the DAAD. Application documents If registered at BerGSAS application portal ( https://application.berliner-antike-kolleg.org/bergsas ), you will find at the bottom of the form the list
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-antike-kolleg.org/bergsas ), you will find at the bottom of the form the list documents required. This includes among other things copies of various documents (which do not have to be officially certified
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research and development, including; Feasibility studies on contaminant removal in a solar powered electrodialysis process Establishment of the most suitable energy management scenario in collaboration with
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methods for photocatalytic membrane development. The project will focus on i) photocatalyst selection, looking beyond the most commonly used materials, ii) exploring options of catalyst deposition and
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of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
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in tabular form List of publications if applicable Extensive and detailed description of the research proposal which has been agreed upon with the academic adviser (signed by the German host professor