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research teams to develop the necessary experimental platforms, modelling and data analysis capabilities. Research Assistant Professor (25260475) Responsibilities: The Department is recruiting a scholar at
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Scientific analysis of additive manufacturing in the context of future production, material, and energy systems Research
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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appropriate field. You will work on the project “Data-Driven Micromagnetic Modelling”. Your job This study contributes to SPARK, an ERC Consolidator project that aims to unlock magnetic information stored in
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rules in networks of complex spiking neuron models in the application field of geolocalization: Building up simulation model for networks of complex neurons with topologies close to neuroscience models
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generative AI models to establish structure-property relationships for materials discovery. This individual will be expected to collaborate closely with the project team and coordinate efforts with
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techniques for analyzing data collected from hardware sensors installed on electrospindles and the development of models for calculating the spindle’s remaining useful life. The contractor will explore topics
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accounting for Polymorphic uncertainties in Sensor Models and Sensor Fusion for IAM Operations Supervisor: Prof. Michael Kaliske, Chair of Structural Analysis and co-supervised by at least one additional
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materials to enhance the cell robustness. Work plan The work plan for the PhD thesis will be divided in three main steps: 1) A chemo-mechanical model will be built to predict the crack initiation and
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threats, using in vitro exposure-response assays, RNA and whole-genome sequencing, PK/PD modeling, and high-resolution microscopy. This interdisciplinary approach challenges current resistance paradigms