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Field
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We are looking for 4 highly motivated PhD students to join our research team for a project focused on battery modelling, state estimation, fault diagnosis and control. Information Batteries
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
-latency, and scalable operation in aerial 6G networks. In this regard, Large Language Models (LLMs) have recently emerged as a key technology to achieve adaptive 6G spectrum management. The core idea of LLM
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computer science, mathematics, and biology, focusing on processing, analyzing, and modeling biological data and processes at the molecular and cellular level. They involve developing analytical methods and software
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along with physiological and behavioural data of test drivers and build explainable predictive models out of it. The research team spams Luxembourg, Europe and the USA and will make use of world-leading
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pilots to real-world systems. The overarching aim is to deliver a scalable approach, pairing shared “aggregator” models with household-specific “client” models that exchange knowledge while keeping data
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overheating models by integrating TIR imagery with energy flux data, building physics parameters, and local weather conditions. Apply machine learning techniques for TIR and other open-source image analysis
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of harvest using estimates of wood production constrained by UAV and Airborne laser scanning (LiDAR) surveys. Due to weather conditions, it is unsafe for several days to months after a cyclone or tropical
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 8 days ago
– Innovation and Digital Transition Programme , to be developed at CIIMAR (Interdisciplinary Centre for Marine and Environmental Research), under the following terms and conditions: Scientific Area
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Description PhD Position in Mesoscale and Macro-homogeneous-scale Modelling of Electrodes 100% ZHAW - Zurich University of Applied Sciences Winterthur, Switzerland This doctoral thesis is part of the European
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allowing you to balance work and family, among other things the possibility of teleworking • Secure and future-oriented employment with attractive conditions • A broad range of further education and