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new methods for integrated sensing and communications in optical networks. Cutting-edge machine learning techniques for sensing data analysis, models of the impact of external phenomena on optical
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localization, sensing, and tracking. This profile focuses on modelling, algorithm development, performance analysis, and signal processing for radio localization, sensing, and tracking in terrestrial and
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Marie Skłodowska-Curie Doctoral Network dedicated entirely to QEC. You will join an international cohort of doctoral researchers and collaborate with leading academic and industrial partners, including
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the Nordic region and municipality/industry partners on real use cases for e-health solutions conducting research in software systems, distributed systems, network technologies and advanced data analysis
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growth, spatial data and GIS, and statistical analysis in R. About the position The doctoral student will plan and carry out field experiments and inventories, manage and analyse spatial and experimental
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survival under stress. Our research seeks to understand how cancer cells adapt to these pressures by rewiring homeostatic networks and how these adaptations create previously unrecognized therapeutic
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diagnostics, and ecological and statistical data analysis. About the position The doctoral student will plan and carry out field and laboratory studies, analyse and interpret data, and communicate results
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. The project will combine field experiments and forest health surveys with disease and damage assessment, fungal isolation and culturing, molecular diagnostics, and ecological and statistical data analysis
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analysis to better understand how molecular and cellular processes are coordinated across cells, tissues, and organ systems in human health and disease. You will be responsible for developing and applying
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research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis