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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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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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Master’s degree (or equivalent) in a relevant discipline such as computer science, mathematics, physics, or data science. They should have strong analytical skills related to statistics, machine learning
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completed bachelor's AND master’s degree in chemistry with a focus on analytical or environmental chemistry from a university or comparable institution of higher education is required. Applicants must have a
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these results with complementary techniques such as TEM or SEM Data Analysis and Interpretation: analyze experimental data using appropriate methods and software interpret the results in the context of refining
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in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the
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, physics, or data science. They should have strong analytical skills in the context of machine learning and/or numerical mathematics, as well as an excellent command of a programming language, preferably
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of Management and participation in the related Graduate School training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics strong analytical and
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Experience in experimental work and instrumental analytics Knowledge of elemental and colloid analytics as well as microscopy is an advantage Readiness to handle open radioactive materials in a radiation
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science, urban studies, and aerospace. Skill Development: Our extensive qualification concept goes beyond research, offering targeted training in drone technology, data analytics, regulatory aspects