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coating, iii) investigation of system design from small-scale to potentially pilot scale, and iv) application to micropollutant removal. Modelling aspects are open to exploration at molecular and process
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the membrane pores and their impacts on the removal of a variety of micropollutants, iii), investigation of membrane characteristics and selection criteria, and iv) design of membranes to achieve complete
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positions with competitive salaries according to TV-L scale [pdf-Datei] . Integration into the LMU Graduate Program, providing structured career development and training. Access to cutting-edge core
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to reason about software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new
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of the expansion of offshore wind energy, including the design of wind turbines and wind farms, interaction with the offshore environment, regional planning, social and tech-economical questions ( https
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communication skills and fluency in English (spoken and written). Benefits: Fully funded PhD positions with competitive salaries according to TV-L scale. Integration into the LMU Graduate Program, providing
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to be filled is part of the second phase of the Collaborative Research Center 1463, "Integrated Design and Operation Methodology for Offshore Megastructures", funded by the German Research foundation (DFG
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this project, the candidate will design and use machine learning (ML) tools to classify and analyze X-ray and neutron scattering data. This project also includes implementation of FAIR concepts (Findability
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a four-year research project. Execution of the research plan through conducting of experiments, sample and data analysis and write-up of results for scientific publication are part of the PhD process
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available in the further tabs (e.g. “Application requirements”). Programme Description Higher education graduates of outstanding academic merit who plan to complete a doctoral programme or carry out