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AI-driven tools for bio-retrosynthesis-based metabolic pathway design, enzyme design and optimization, and DNA part selection. 2) knowledge-graph-based combinatorial experiment designs are used to span
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and digital logistics in agri-food production. The project aims to prevent and control pathogens and optimize environmental and energy sustainability in livestock systems within a One Health framework
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experimental protocols, including MR pulse sequence optimization and/or data acquisition strategies. Conduct MRI and/or high-density fNIRS measurements in healthy participants, following best practices in
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, Spain, mentor I. H. Rodriguez (7 months): Pilot-scale production of raw materials with controlled morphologies and optimizing the production processes of ZrO₂ membranes developed, transitioning from
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optimization. - Integrating control loops (DU/RU near-real-time and real-time loops) and observability across layers. - Research, project coordination and fund-raising experience o Ability to lead an independent
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project will be linked to the ALGAEDIVERS project which investigates Mediterranean microalgae as sustainable sources for food and functional feed. It will focus on isolating new strains, optimizing biomass
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. The PhD student will investigate how mycoviruses influence pathogenic and nonpathogenic microorganisms in plants. The work will contribute to sustainable control of plant disease through preventive and