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materials that combine the structural features and mobility in a single component. These are liquid crystal elastomers (LCEs), unique responsive materials that reversibly change shape, colour, adhesive
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computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning
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of metabolic network modelling linked to epigenetics Carry out machine learning, and integrative analysis of large epigenome datasets Communicate research results in international conferences and journals Work
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. Fridgen’s PayPal-FNR PEARL Research Grant and the FutureFinTech National Centre of Excellence in Research and Innovation, the successful candidate will work on crypto-asset transaction analysis
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collaborative opportunities globally, as well as within Luxembourg. The doctoral candidate will perform wet lab experiments as well as computational analysis to uncover biophysical principles that regulate host
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disturbances on OFR using visual media (e.g., photos, videos). The supply and demand of OFR will be assessed via a spatial analysis to identify recreational hotspots and inform forest management of them. Finally
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and Innovation, the successful candidate will work on crypto-asset transaction analysis - at the intersection of data science, blockchain technology, and financial crime prevention from an Anti-Money
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-connectivity Communication system modelling, performance analysis, and simulation. Optimization tools and machine learning techniques. Hands-on experience with software-defined radios (SDRs) and/or
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perturbations. Climate and human-induced disturbances may alter forest ecosystems dynamics, modifying eventually their resilience to rapidly changing conditions. Previous studies based on the temporal analysis
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well as computational analysis to uncover biophysical principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine