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Work with globally unique analytical measurement International, interdisciplinary work environment on an attractive campus (AEG Campus), including many collaboration opportunities with partners
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, Management Science, Business Analytics, or a related field. Strong analytical skills with experience in AI, machine learning, or data analytics. Very good English skills in writing and communication
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of the possible influence of storage-related factors on the LOHC purity Method development and application of suitable analytics (e.g. GC(-MS), NMR, etc.) for the qualitative and quantitative determination of by
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out within the DFG Priority Programme “DaMic - Data-driven Alloy and Microstructure Design of Sustainable Structural Metals” (SPP 2489), in close collaboration with a research partner responsible for
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system analysis or comparable Initial experience in optimization or statistics is an advantage Initial experience of an object-oriented programming language (e.g. Python, Matlab) and MS Office Analytical
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://github.com/FZJ-IEK3-VSA/RESKit ). This framework currently uses historical weather data to model energy output and will be further developed to allow the simulation of renewable electricity production under
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biogeochemistry, environmental sciences or a related field is required. Good methodological (theory) knowledge of analytical approaches for measurements of climate-relevant trace gases is required. Knowledge
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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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science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image
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information on beginning, duration and mode of study No specific regulations Application deadline No specific deadlines Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint