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systems Experience in the fields of surface catalysis, electrochemistry or thin-film deposition Experience in programming in Python Experience in handling large spectroscopy datasets Experience in assisting
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. ability to code MBSE models in Capella. proficiency in Python programming. Application Welcome with your application, no later than October 7, 2025, including: Motivation letter CV Certified diplomas
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processes with relevance for irrigation and drainage Have knowledge in programming in R and Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have
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Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have knowledge and experiences in using HecRas, SWAT and ArcGis Pro Experience in designing and
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Python for scripting and data analysis, metabolite ID via MS/MS and annotation (e.g. SIRIUS, HMDB, authentic libraries etc.), statistical uni- and multivariate analysis, data visualization (PCA score
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. The required expertise includes raw UPLC-MS-collected data preprocessing with XCMS, MZmine or MSDIAL, normalization procedures, proficiency in R and/or Python for scripting and data analysis, metabolite ID via