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Field
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The applicant is required to have a PhD degree in Software Engineering with a focus on Model-Driven Engineering and AI. The applicant must have completed the degree no more than three years before the end
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; Circuit analysis & modeling: Analysis of cortical connectomes, including comparative analyses across ages/regions; hypothesis-driven tests of discovered circuit rules; pair analyses with data-constrained
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, supersonic, and hypersonic regimes. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study
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plants). The associate will develop rigorous, scalable methods—spanning physics-based and data-driven models—for optimal power flow, demand response of flexible loads, transient/stability-aware dispatch
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strong background in machine learning, computer vision, or data-driven modeling. You have extensive experience in the development and implementation of AI and machine learning algorithms, ideally with
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for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in
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programmes in wind farm and power transmission system model, analysis, control and optimisation but not limited to data driven monitoring for control and operation. What we are looking for: You must have a
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areas in data science and engineering systems. Required Knowledge, Skills, and Abilities Demonstrated expertise in computational sciences and numerical modeling. Demonstrated expertise in machine learning
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. Experience in modelling and analysis of energy systems. Excellent knowledge of English. Good command of German is a plus. Strong analytical skills, self-driven personality and willingness to learn. Excellent
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) simulations and reduced order modeling of turbulent and reacting flows relevant to advanced propulsion and power generation systems, such as gas turbines and detonation engines. The successful candidate’s