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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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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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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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); 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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experimental results; developing conceptual models and parameterizations scientific publication and presentation working as an integral part of a motivated multidisciplinary team within the institute and with