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seldomly consider the overall infective competence represented by them in the context of the microbiome. Here, using a triptych approach leveraging in silico, in vitro and in vivo methods, we aim
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-MS/MS based methods for the analysis of these carcinogenic pollutants/metabolites from different chemical classes in hair, blood and urine samples. The study will also involve conducting a pilot
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adaptive and innate immune responses, in order to identify clinically relevant key elements that correlate with clinical outcome in diagnosis and treatment. Therefore, the present project will address the in
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charge of: Developing surface preparation methods and thin coating deposition methods Characterize thin coatings Manufacture ultra-thin materials assembly and characterize their interface Understand
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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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characterization techniques (e.g., XPS, SEM, etc.). You have developed a strong background in textiles and understanding of textile functionalization methods. You have excellent communication, collaboration, and
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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