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contribute to the design and development of Machine Vision approaches for the quantitative analysis and phenotyping of agricultural systems: Training/Development of computational models for the quantitative
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environments. The network emphasizes innovation through the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with
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Master Degree within the end of 2025/beginning of 2026, and you are interested in the topics of the project (Theoretical Chemistry for Predicting Chiro-Optical Response and Ligand Effects iN Chiral
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multiple-output) for high data rate and reliability, integrates semantic and goal-oriented communication, and leverages physics-informed machine learning. A key innovation will be the development
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response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design platforms. Furthermore, REUNATECH
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secondments at world-class institutions. The proposed research will be on the intersection of the following topics: Energy Harvesting and Intermittent Computing Batteryless Networking Machine Learning
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effectors with prognostic and predictive value in patients with colon cancer during chemotherapy About METAMIC 3 One Health is an integrated, unifying approach that aims to sustainably balance and optimize
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including secondments at partner universities and companies. Our broad range of diverse work-time models offers great flexibility – also when working from home. If you have family members or young children in
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cellular membrane models including blood. This PhD project aims to enhance the knowledge on the biocompatible Ti based alloys composition and synthesis with advanced techniques and measure their properties
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about biomedical research or cell biology? Ready to make groundbreaking contributions to understanding ciliopathies through innovative machine learning approaches? Join the Cilia-AI consortium, and embark