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Field
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within trusted digital environments. Their research focuses on ontology-driven conceptual modelling, FAIR data stewardship, and model-driven system/service engineering, dealing with data-driven services
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machine learning for time series, geospatial data or dynamic models; ideally experience with deep learning frameworks (e.g., PyTorch). Strong analytical and conceptual skills for designing and interpreting
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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
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and parameterise mechanistic movement rules. Figure 1. Example conceptual overview of a process-based population model for the common toad (Bufo bufo). The model integrates individual movement, habitat
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. Previous experience with agent-based modelling or other simulation approaches is required. Completed a well-written master's thesis which demonstrates comfort with conceptual abstraction as well as practical
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and loss of migration across western Europe. Benefitting from the strong expertise of the supervisory team in stork ecology, movement analysis and spatial models, the project will leverage large
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assessment of chemical plants using HAZOP analysis Use of process modeling and simulation to enhance quantitative assessments Use of machine learning to support HAZOP discussions with the aim of obtaining a
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) criteria. Using systems engineering, digital engineering, and lifecycle modelling, the research will reveal interdependencies and trade-offs to support responsible decision-making in mission design and
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this field. We are currently looking for researchers with strong energy systems knowledge, electricity, heat, and gas netwrok modelling & simulation, and research software development skills that want
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disassembly and reassembly. Further, more strategic design aspects related to business models that stimulate repair and remanufacturing will be addressed. The PhD-2 position wil establish a comprehensive