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candidate for the UPC-2 research project "Multi-agent multi-objective agent-based modelling for automatic distributed optimization of cellular networks" at the Universitat Politècnica de Catalunya (UPC
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communication skills in English. Practical experience with Deep Learning. Practical experience with generative AI implementation. Experience with optimization techniques. Knowledge of causal inference. Hands
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Programme? European Union / Next Generation EU Reference Number 2026/CP/060 Is the Job related to staff position within a Research Infrastructure? No Offer Description Job title: Topology Optimization
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 1 day ago
: • Experience in the field of oncology. • Knowledge and/or experience in liquid biopsy. • Scientific publications and conference presentations. • Teaching experience. LanguagesENGLISHLevelGood Additional
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and Drug Delivery Systems for Enhanced Bone Regeneration” (Reference: PROID2025010017). This project focuses on the optimization of additive manufacturing processes (MEX) and scaffold performance
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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a distributed energy optimization local controllers leading to the grid edge conceptual
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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a distributed energy optimization local controllers leading to the grid edge conceptual
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regional R&D initiative focused on the production of Sustainable Aviation Fuels (SAF). The requirements are as follows: Tasks Description: Optimization of anaerobic culture conditions of microorganisms aimed
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; solid mathematical knowledge, including linear algebra, matrix theory, probability theory, optimization theory, etc.; proficient in Linux development systems, master traditional image processing libraries
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: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and composites