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oriented, regionally anchored top university, developing innovative solutions for the world's most pressing issues. In research and education, the university unites the natural and engineering sciences with
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, disabled candidates will be given preference. Please upload complete application documents (cover letter, curriculum vitae, certificates, list of MSc courses and grades, copy of the master thesis, reference
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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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: 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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to work independently or in a team Preference will be given to candidates with evident experience in the listed fields What we offer Training in cryo-electron microscopy and interfacing techniques
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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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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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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