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Field
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nitrogen-rich fertilizer essential for optimizing crop yields and sustaining global food production. Currently, urea is predominantly synthesized through the Bosch-Meiser industrial process, which relies
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antibiotic activity against clinically relevant bacterial pathogens, optimizing in vitro assays, and assessing lead compounds in preclinical infection models. A major focus will be developing and applying in
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on integrating an agentic platform for electrocatalyst discovery and developing novel machine-learning algorithms (e.g., reinforcement learning) for materials discovery and process optimization. The candidate will
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description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for
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quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50 of the monthly maintenance stipend. INESC TEC supports costs with
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framework to find the optimal operation strategy Conduct computer programming to verify the efficiency of the designed solution algorithms Analyze data acquired from the field survey Develop machine learning
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-resistance phenotypes. You will gain experience applying AI, genomics, and bioinformatics, from foundational AI/ML concepts to hands-on application and optimization of DNA and protein language models
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surgery. However, the growing use of TAVI has also increased the need for accurate methods to assess valve disease, identify patients who will benefit from intervention, determine the optimal timing
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unknown PRRSV strains and present a portfolio of biomarkers, cell populations, and/or immune processes to target for revised immunomodulatory design strategies that are catered towards prevention/treatment
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and gradient-based optimization methods in optimization of complex structures are significant. The knowledge of programming languages, numerical methods, material properties including their tribological