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industrial partners and spin-offs, together with KTT Business Developers and Innovation Managers. Develop standardized, technology-adapted licensing models and agreement templates (exclusive/non-exclusive
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and edge computing; The design of architectures/models which accurately capture the complexities of the data, with robust estimates of confidence in predictions and compressed quantities of interest
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, cardiovascular problems and cognitive decline. While outdoor air quality is routinely predicted using advanced models that combine emissions data, chemical reactions, and weather patterns, no equivalent predictive
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lightweight deep learning model for welding defect recognition. Weld. World. https://doi.org/10.1007/s40194-024-01759-9 J. Franke, F. Heinrich, R.T. Reisch, “Vision based process monitoring in wire arc additive
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professor to address the digitalisation, real-time control, and IT/OT integration for battery production, including digital twins, model predictive control, industrial IoT, and advanced automation
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stem cell models from patients with Parkinson's disease to understand the underlying causes of neurodegeneration and to develop biomarkers and new therapies for Parkinson's disease. http
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broader portfolio of academic affairs and data science initiatives, including AI integration, predictive modeling, statistical analysis, machine learning, and analytics infrastructure development. A major
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, Mullins effect, and damage mechanisms. The main objective is to identify biomechanical biomarkers of tissue fragility and to develop predictive models of stiffening and failure, integrating histological
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-physical properties of insulating biobased concretes in order to provide the input parameters for modelling. Multiphysics predictive modeling: to reduce the cost of experimental tests and provide a decision
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Offer Description Mission: Collaborate in the development of strategies for predicting and monitoring railway-induced vibrations. Functions to be developed: Develop prediction models for vibrations