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focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and
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partnership with the Odysseus Space company as part of the Simulator development for the optical slant path program. This PhD project aims to develop an analysis tool for the optical ground-to-satellite links
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will have a strong background in socio-technical threats and attacks, deception and social engineering, and security and cybersecurity metrics analysis (qualitative and quantitative). With a high
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of predictive models for energy demand and production. These models will leverage techniques such as time series analysis and machine learning and will be integrated into a digital twin platform. The aim is to
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models or forecasting and econometric analysis Proficiency in one of the major programming languages such as Python A collaborative team player with a desire to make a personal impact within our
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related field. Interest in energy markets, digital technologies, policy analysis, or regulatory frameworks. Strong quantitative and qualitative analytical skills. Proficiency in statistical software such as
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topics Crystallization of polymers Analysis of the structure of semi-crystalline polymers Mechanical and thermal properties The work involves lab experiments, data acquisition, validating findings
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student should lead innovative and creative research in theoretical quantum physics, including mathematical modeling and phenomenological and numerical analysis. The PhD student should display scientific
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, statistics, applied math, computer science, or in a related field You have a strong interest in weather and climate research You have excellent knowledge in computer programming (e.g. Python) and data analysis
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plasma, coupled with optical emission diagnostics of the plasma properties, and gas phase analysis of the stable products. The candidate will work as a joint PhD student between Ghent University and