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. This high level of knowledge transfer is achieved through both competitive research projects and direct contracted research. Therefore, public and private entities have access to a pool of knowledge
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current and anticipated traffic demands. In this context, it is crucial to design performance models associated with specific network configurations. Analytical models must be complemented by simulation
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Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Postdoctoral Research Associate: Mathematical and Topological Foundations of Knowledge Analysis in the Science of
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advanced pedagogical models in comparable high-tech sectors and conduct a skills-gap assessment within the Phortify network. Based on this, flexible teaching formats will be studied, developed and piloted
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fatigue cracks growth experiments at high and room temperature Analysis of fatigue experiments by means of fracture propagation models; Segmentation and analysis of X-ray tomographies for detecting material
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co-creating a protocol for collecting primary data; 2) modelling waste and by-product flows, as well as reuse/recycling chains for one or more demolition and deconstruction case studies located in
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– development of scenarios for the network analysis. --- Model development – development of a model that enables the analysis of the impacts of adding sensing capabilities. --- Model implementation
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microfluidic chips and cannulated vessels, acquiring the data necessary to validate your models. Beyond this, you will be embedded in the ThromboRisk Doctoral Network with regular meetings, knowledge exchange
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
Mathematics » Statistics Geosciences » Other Technology » Remote sensing Engineering » Agricultural engineering Computer science » Programming Computer science » Informatics Computer science » 3 D modelling
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datasets or wildlife imagery Familiarity with data annotation tools and practices for large-scale datasets Knowledge of model deployment and optimization (e.g., ONNX, TensorRT, model quantization) Experience