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Master's degree in Energy Policy, Energy Economics, Information Systems, Mathematics, Operations Research or a related field Strong knowledge of quantitative and/or computational research methods, ideally in
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Systems, Economics, Mathematics, Operations Research, Computer Science, or a related field Strong knowledge of quantitative and/or computational research methods, ideally in optimization and simulation
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Research or a related field Strong knowledge of quantitative and/or computational research methods, ideally in numerical optimization and simulation models. Proficiency in one of the major programming
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in several of the following key topics: Energy System Technologies Digital Twin Platforms and Data Analytics Predictive Models & Explainable AI (XAI) Methods in Time Series Forecasting Data Retrieval
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activities: Conduct highly innovative research in the intersection of cybersecurity and safety-critical systems, in dependability methods and solutions and in architectures and systems that support the
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-regulatory networks. Following cis-GRN network reconstruction and formal graph analysis, we will identify key regulatory factors governing cell-type specific response to CMT-causing mutations. Finally, we will
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integrate these data into the cis-regulatory networks. Following cis-GRN network reconstruction and formal graph analysis, we will identified key regulatory factors governing cell-type specific reponse to CMT