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of complex fluids -Adaptation of formulations to printing and dispensing processes - Deposition of thin functional layers using printing technologies (inkjet, dispensing, or related approaches
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, or machine learning) Experience working with various animal models Ability to work in an interdisciplinary research environment Specific Requirements Programming experience (Python and R) Experience with
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experimental activities, data analysis, and the development of new experimental methodologies. Collaborate closely with project partners to compare experimental observations with theoretical models and establish
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empirical analyses (task 21) - Contribution to WP5: Theoretical and practical outputs • Contribution to the theoretical outputs: creation of a theoretical model that reflects private judicial, legal and
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program on Working Package 3, which focuses on a demonstrator illustrating the application of the mathematical theory of multi-agent viability in monetary economics. Designing a Model for Applying multi
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). - Develop mitigation strategies or transform embrittlement into a green synthesis route for advanced nanocatalysts. Missions and activities: - Synthesize model metal micro/nanoparticles (Pt, Ag, Au, Cu, Ni
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. This large multimodal dataset allows us to estimate and test different computational models of the decision and learning processes. One postdoc is currently working on the MEG and iEEG data, and one PhD
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immunotherapy interventions targeting CD4+ T cells based on recombinant monoclonal antibodies or mRNA-containing lipid nanoparticles. The project will be primarily developed in a pre-clinical murine model of lung
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of genetically engineered bacteriophages in relevant experimental models. ▪ Contributing to dissemination of research findings and project reporting. Candidate profiles We are seeking a highly motivated candidate
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numerical techniques to study collective states in active matter. Depending on the candidate's profile and interests, the research can involve various aspects of the modeling and the optimal control of active