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and as part of a team Understanding of dynamical systems, time series models, machine learning, Bayesian statistics, experience in handling environmental and climate data is a merit We offer: This
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rivers are dynamic systems transporting sediment, wood, and nutrients. This disconnect can lead to underperforming flood assets, where sediment accumulation, blockage, or erosion reduces efficiency and
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This PhD project explores the use of plasmonic nanostructures for trapping and spectroscopic characterization of proteins, enabling real-time, label-free studies of their structure, dynamics, and
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are expected to provide insights into the fundamental dynamics of molecule-plasmon coupling and contribute to the development of molecular quantum light sources, paving the way for advancements in nanoscale
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states of molecules or quantum materials embedded in the gaps, enabling all-optical or optoelectronic switching. Special emphasis will be placed on understanding the dynamics of non-linear optical effects
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the source code is analysed without executing the software, and by dynamic analysis, where the software is executed and its runtime behaviour is analysed. There are many methods and tools available for both
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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role This Ph.D. position offers a chance to join a dynamic, interdisciplinary research group
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Science and Engineering at the Faculty of Mechanical Engineering, in close collaboration with the Netherlands Defence Academy. The CTE group is a dynamic team of researchers, including PhD candidates
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forms of governance, such as public-private partnerships, multilevel collaborations, community initiatives and triple helix partnerships. Our team’s work is highly regarded by (inter)national colleagues
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Morphing is a ubiquitous feature in nature: from the growth of plants to embryos evolution to wing adaptation in birds, shape-change is a fundamental aspect of the biological matter itself. What