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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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& Photonic Systems Design: Lead the conceptualization and design of quantum and photonic integrated circuits and systems to enable high-precision sensing as well as energy-efficiency, large-scale computing
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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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Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience
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biological data, development of deep learning and large language models for biological discovery or graph-based methods for molecular and cellular networks. The technological foundation further consists
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the impacts of various anonymization techniques from a business, legal and regulatory standpoint Designing and evaluating a reference process model to guide the implementation of legally compliant data
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plant – microbe interaction and mechanistic understandings Strong ability to interpret data and think analytically, critically, conceptually, synthetically and interdisciplinarily Strong social competence
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Researcher in Language Evolution / Probabilistic or Evolutionary Modeling / Primate Communication (m/f/d, E13 TV-L, 75%) The position will be filled for a fixed term until June 2029. Payment is at 75