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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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of de-anonymization, including researching current de-anonymization strategies Investigate synthetic data generation methods and their utility Deploying and benchmarking the above-mentioned methods
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both theoretical challenges and practical applications. Key Responsibilities: Develop innovative methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision
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or BioEngineering (or equivalent) Solid background in Biochemistry, Molecular/Cell Biology, and/or BioEngineering documented by peer-reviewed publications Skills in a broad range of methods in the fields
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dissemination in the field of contemporary history with a particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting
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, zero-knowledge proofs), and the relevant regulatory landscape (e.g., AML/CFT, MiCA) Willingness to work in a highly interdisciplinary context and develop a set of interdisciplinary methods (i.e., dealing
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methods and solutions and in architectures and systems that support the development of such systems Publish research results and present them at international conferences Contribute to reports and research
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project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g., omics or clinical data), using statistical methods, pathway/network