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in at least two projects related to scale up and optimization of biomass valorization processes from wood and agriculture feedstocks for textiles and packaging applications. The portfolio of projects
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Associate, you will develop AI-enhanced Digital Twins for solar energy systems, enabling real-time monitoring, predictive maintenance, and performance optimization. You will design modular architectures
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skills and experience in written, spoken, and collaborative work in English. What we offer: A career path optimized for transition to industry. You will be affiliated with the dynamic Aalto Scientific
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solutions ; High -performance computing systems to support specialized AI and LLM, and to empower the development and refinement of advanced algorithms for 6G communications, optimal grid management
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solutions; High-performance computing systems to support specialized AI and LLM, and to empower the development and refinement of advanced algorithms for 6G communications, optimal grid management, renewable
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been shown to accelerate and improve the training procedure of SNNs by defining new cost functions that are differentiable and easier to optimize. They can also handle quantized weights, e.g., using
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problem-solving skills and the ability to collaborate with cross-functional teams are essential. Responsibilities The main responsibilities of the role are as follows: Develop and optimize algorithms
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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analysis activities for cooperation projects and clinical analysis. Engaging on the optimization of lipidomics/oxylipin (phospho) proteome analysis methods. You hold courses independently within the scope
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applications and optimization of bioelectronic devices for selective and controlled therapeutic release. You should hold a relevant PhD (or be near completion) in fields such as biomedical, electrical