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theoretical concepts with available data; Working with large databases (e.g. PATSTAT, ECOLEX, Web of Science); Quantitative time series analysis, including structural break detection and clustering techniques
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the analysis of ILs using the following methods NMR, FTIR, DSC, TGA, GC (MS, headspace analysis), viscometry, etc. Have a strong background in the Python programming language, preferably also in machine learning
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. Context: Machine Learning and Artificial Intelligence are topics we frequently hear about, with a wide range of applications, including in the energy sector. However, a key challenge is the lack
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6 Mar 2025 Job Information Organisation/Company Estonian University of Life Sciences Department Institute of Veterinary Medicine and Animal Science Research Field Engineering » Materials engineering