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Field
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machinery. These tasks include the verification of backlash detection and monitoring strategies formulated from the integration of multibody models and sensor data, as well as their subsequent development
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analysis of cyclist crashes and built environment indicators. • Integration of quantitative and qualitative results, including focus groups on cyclists’ risk perception. • Dissemination of findings through
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committed to develop an integrated long-term energy storage system utilizing hydrogen in the form of liquid organic hydrogen carriers (LOHCs), coupled with innovative biomass conversion. This approach enables
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of microscopy acquisition protocols, contributing to the development of high-throughput platforms combining electron microscopy and artificial intelligence. PeCATHS is committed to develop an integrated long-term
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. - Integration of materials into devices. Requirements for a stronger application: - Degree in Physics, Materials Science, Nanoscience, or similar. - Master + Bachelor degrees (300 ETCS in total) or Bachelor
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mindset. Engineers, computer scientists, physicists, or mathematicians are welcome. Previous research experience, including data collection, curation, and analysis. Integrated language, communication and
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cell culture and study of cell toxicity and similar by confocal, FACS, etc. Competencies and skills: Communication, Teamwork and collaboration, Commitment, Proactivity, Integrity, Critical and Analytical
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analysis, AI algorithm modeling, testing, and integration into functional systems within the project scope. Specifically, in activities related to behavior modeling from IoT device data, generative AI
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optimization. - Integrating control loops (DU/RU near-real-time and real-time loops) and observability across layers. - Research, project coordination and fund-raising experience o Ability to lead an independent
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No 101073106) The main objective of the GECKO project is to bridge the existing gap between the CAD and the computational models (CAE) and integrate them within the industrial workflow. This will imply