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batteries. Design and implement optimization algorithms for the management of shared or collective storage systems. Contribute to the design and validation of new business models for distributed storage
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to the economic modelling and simulation of optimal fuel cell operation under different business models.. Collaborate in the laboratory testing and validation of control algorithms developed within the project
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seeking a senior postdoctoral researcher (R2 level) to take on a leading technical role in the development of advanced modelling, control and optimization tools for smart energy systems. The selected
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excellence at European level from which senior and junior researchers from around the world develop disruptive technologies and business models that will serve as an engine of socio-economic growth in
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foods. Develop food prototypes of dry-cured meat and their plant-based analogues with optimized texture and sensory properties. Perform advanced statistical analysis, mathematical modeling, and interpret
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efficiency for serving massive models. Research and implement cutting-edge optimization strategies at the kernel level (e.g., FlashAttention, custom CUDA/ROCm kernels). Build robust data pipelines
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represent? Why do over-parameterized models trained with simple optimizers generalize so well? We explore these questions through the lenses of statistical learning theory, optimization theory, and
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areas of nanoscience and nanotechnology. Job Title: PhD student - Inorganic Nanoparticles Group Research area or group: Inorganic Nanoparticles Group Description of Group/Project: The Inorganic
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interface and vascularized cardiac model). Tasks will include: Strategic planning with PI on lab´s priority projects, including writing project applications and securing funds. Lead research projects: project
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efforts focused on implementation of novel electrophysiological probe technologies within the context of cognitive and motor disease models. 3) Assist with rodent research efforts focused on implementation