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geospatial workflows on an abstract level, using purpose-driven concepts and conceptual transformations; develop AI and machine learning based technology to automate the description and modeling of data
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to the design of the linguistic and conceptual interface between natural language questions and formal workflow models over a geodata repository. In this project, you will: build and annotate a corpus of geo
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seeking a senior postdoctoral researcher (R2 level) to take on a leading technical role in the development of advanced modelling, control and optimization tools for smart energy systems. The selected
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be defined similarly to those in existing conceptual hydrological rainfall-runoff models, such as HBV. However, the storage terms and fluxes, as functions of the current model states, will be learned
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); novel obfuscations and obfuscation recipes to defeat LLMs and other AI-based reverse engineering tools; the use of AI techniques and LLMs to optimize reverse engineering strategies; modeling techniques
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to process and understand large experimental datasets (e.g., image processing) #analyzing experimental results; developing conceptual models and parameterizations #scientific publication and presentation
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processing) analyzing experimental results; developing conceptual models and parameterizations scientific publication and presentation working as an integral part of a motivated multidisciplinary team within
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Sensor Architecture Design: Lead the conceptualization and design of quantum sensors based on photonic integrated circuits (PICs), enabling high-precision, energy efficient, and compact sensing solutions
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distortion (inventory of relationships from literature, organization into conceptual models) quantification and parametrization of the dependencies to mathematical models and providing inputs to programming
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? To what extent and how do features of the collaborative process have to account for existing citizen initiatives? How can we integrate models of social influence and “diffusion on networks” with models