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rendering algorithms; 7. Ability to work on interdisciplinary projects; 8. Fluency in both written and spoken English. Specific Requirements 1. Experience in implementing neural rendering models; 2. Practical
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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is to design a data architecture capable of harmonising sensor data and integrating them with artificial intelligence algorithms for predictive irrigation management. The research will include
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Group , in the framework of MSCA SpecX Project. Research objectives: Feature extraction and distributed algorithms to localise any wireless transmitter in mobile environments that does not collaborate
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biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or it may use population-scale genetic, clinical, or public health data from pathogen
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, particularly the strategy-as-practice and process-based research traditions, while engaging closely with AI governance and algorithmic organising. It examines how generative AI is transforming core managerial
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systems. Emphasis is placed on developing algorithms and system architectures that increase robustness and autonomy under real-world conditions. 3. Automation Technologies to Improve Safety and Reduce Human
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to move beyond traditional group-level statistics and model individual variability more accurately. The dissertation will focus on the theoretical and algorithmic development of linear and nonlinear mixed
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subject from a recognised institution. A background in at least one of the following: Dynamical systems Photonics/Electromagnetics theory, design and simulations Machine learning mathematics and algorithms
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molecular biology techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics. Importantly, mastery of the experimental and theoretical aspects shall equip doctoral