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Field
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terrestrial networks, non-terrestrial network entanglement distribution. Your profile PhD degree in wireless communications, signal processing, machine/deep learning or a closely related field in Electrical and
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, and to better understand the impact of anomalies on hydraulics and water quality in distribution networks; Implementation in EPANET-MSX of water quality models for water distribution networks; Advanced
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the Atmosphere for Investigation and Learning”), Maria Skłodowska Curie Actions (MSCA) Doctoral Network funded by the Horizon Europe programme. About the project/work tasks: Thunderclouds are the most energetic
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pathways, on microbial drug tolerance. The project aims to explore the crucial role of metal ions in the genetic networks that govern drug resistance and tolerance in fungal pathogens, in particular Candida
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research program that brings together physics, chemistry, and machine learning. Your research tasks will include: Uncertainty Estimation in Deep Neural Networks for MLFFs Implement and test uncertainty-aware
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on the design and performance analysis of resource allocation algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project "Utility Optimization
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network in which each node can harvest sufficient energy to operate autonomously, irrespective of its location. The project investigates various strategies for efficient energy distribution in IoT networks
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Multivariate statistical analysis of community and environmental datasets Spatial analysis and georeferencing of ecological data using GIS Development and implementation of species distribution models
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programming (MATLAB and Python); knowledge of data processing; experience in mathematical modelling, especially dynamic systems and neural networks; previous experience with burned area algorithms. Contracting
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Actions (MSCA) Doctoral Network funded by the Horizon Europe programme. About the project/work tasks: Thunderclouds are the most energetic natural particle accelerators on Earth, capable of accelerating