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biotechnological applications. Current proteomics approaches rely almost exclusively on positive ion mode, which leads to inefficient ionization of many acidic peptides. However, acidic and alkaline proteins are
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will be given to research into (1) Hydrogen-related materials, (2) Battery materials, (3) Quantum materials, (4) Semiconducting materials, (5) Artificial intelligence materials, (6) Metal and inorganic
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datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning). The goals are to develop new computational methods that allow the scientific inference
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a citizen science component to gain a broader data foundation and raise awareness of the issue. The results will support management measures and policy initiatives to reduce plastic pollution
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achieve scientific and professional excellence by the end of their studies. Key elements of the holistic training program foreseen in MICRO-PATH are: Conducting research in the framework of a doctoral