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problems and their computational solution. Experience with uncertainty quantification is highly desirable. Excellent programming skills in Python are essential; familiarity with C++ is considered an asset
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bioinformatics, computer science, data science, or another relevant field experience in analyzing large biological datasets (e.g. genomics, transcriptomics, or proteomics) programming skills (e.g. R, Python
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different regions abroad, with studies on climate, land, energy, and water analysis, modelling, and management. Your responsibilities We are looking for a talented and experienced postdoctoral researcher with
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multidisciplinary energy research. For example, mechanical engineering, with a specialization in combustion engines, Energy Engineering, Control Engineering, etc. You can utilize, develop and integrate different
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to implement data analytics processes and algorithms in scientific programming languages (e.g., Python, R). The ability to collaborate within a multidisciplinary research group. Independent work, collaboration
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to implement data analytics workflows and algorithms using scientific programming languages (preferably Python but others like R, Julia or Rust can also do). Ability to cooperate with a multidisciplinary