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Field
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perform the following tasks: Development, optimization, and validation of analytical methods for the determination of chemical contaminants in human biological matrices. • Analysis of samples using
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. The work is part of the regional project “Optimizing Renewable Energy Integration: FPGA-Based Model Predictive Control (MPC) for Grid Stability” (Ref. SI4/PJI/2024-00238) Where to apply Website https
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, optimization of hydrothermal processes and aqueous phase reforming operating conditions, analysis and characterization of liquid, gas and solid fractions from hydrothermal processes and aqueous phase reforming
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of the corresponding manufacturing processes. The selected candidate will be responsible for: Leading the formulation development of the solid diagnostic product. Designing and optimizing the manufacturing process
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to collaborate closely with computational designers to optimize and characterize novel enzymes. Where to apply Website https://apps.udg.edu/contractacioPDI/account/login.aspx?id=recerca&tipus=recerc… Requirements
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architectures, while also being in line with the Open RAN initiative; Novel AI-based resource allocation solutions, targeting the optimal utilization of both networking and computational resources. In
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project reporting; ensure optimal use of resources and smooth day-to-day operations. Mentorship and Training: Guide PhD students, postdocs, and technicians in experimental methods and good laboratory
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structure. Process the required input data. Define the expected results and technical requirements for their implementation. Create AI-based models to optimize distribution, reduce operational costs and
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of materials under conditions that mimic actual operating environments. Working closely with partners in the IMPRESS project, you will analyze their materials and provide valuable insights to help optimize
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prediction framework that enables the autonomous self-configuration of swarm computing within the 6G infrastructure, ensuring high availability and SLA compliance through continuous, data-driven optimization