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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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modeling, control, and optimization of power and energy systems with applications to maritime and coastal infrastructures (e.g., shipboard microgrids, port facilities, islanded communities, desalination
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workflows to accelerate the discovery and optimization of advanced materials for energy applications. Within the SEMS group at IREC, the main objective is the implementation of an automated experimental
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innovative research on the development of advanced materials for biomass conversion processes. This project focuses on designing and optimizing novel materials that enhance the efficiency and effectiveness
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, chemists, engineers collaborate, each with their expertise, to carry out a scientific activity with a shared research goal. The “Advanced characterizations and optimized functional materials for energetic
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part of change Conception of novel stochastic source coding techniques based on channel simulation Development of numerical Python code for evaluation Optimization and refinement of these techniques in
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unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In
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for the conversion of biogas into high-value-added molecules. This position requires expertise in the synthesis of materials with controlled porosity and mixed oxides. The work will involve process optimization, and
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administration, which means: You build up an independent research profile in the field of railway optimization. You are involved in research projects and scientific studies in the areas of vehicle and crew
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Independently design, execute, and lead a postdoctoral research project at the interface of tumor immunology, metastasis biology, and CAR T cell therapy Establish, optimize, and applypreclinical in vivo