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. . Our PhD-program brings together top-level training and teaching for young scientists , benefiting from the extensive course offerings of local universities and focused instruction by ICFO professors, in
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the project. Main tasks: Develop and implement optimization algorithms to support daily planning and real-time management modules of EMS software for distributed fuel cell systems.. Support tasks related
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29 Aug 2025 Job Information Organisation/Company UNIVERSIDAD PUBLICA DE NAVARRA Department Research Management Service Research Field Mathematics Computer science » Informatics Engineering
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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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proficiency with deep learning frameworks such as PyTorch, TensorFlow, or JAX. Strong foundation in machine learning, deep learning, and mathematics (linear algebra, probability, calculus, optimization
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dynamic, uncertain worlds. Multi-Objective & Black-Box Optimization: Real-world problems rarely have a single, simple objective. We research methods to navigate complex trade-offs (e.g., performance vs
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interface between ESM and the latest version of SIESTA, its validation, its benchmarking, and its exploitation in scientific applications. Work will also involve the optimization of SIESTA on the fastest 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