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concerning this project, please, contact Yevgeny Seldin
. Resource efficiency for generative AI In this project, we will broadly investigate resource-efficient Large Language Models (LLMs -
skills and model systems used. Additional valuable information includes a list of scientific publications or submitted manuscripts, participation in seminars, workshops, and conferences (specifying any
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currently seeking qualified candidates for the position of Research Technician within the lab of Dr. Rami A. Al-Horani. We are seeking a highly motivated researcher to join our research team which exploits a
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disruptive technologies in the field of separation chemistry that can be applied to the entire current and future nuclear cycle, respond to the challenges of mining resource exploitation, and be extended
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, identification of biomarkers and haemostatic modifiers with multi-omics approaches, an AI-driven bleeding prediction model, and a cost-effective algorithm for bleeding evaluation. All BDUC patients registered
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language. - While our current digital infrastructure relies on classical networks, quantum networks are slowly becoming a reality. The coordination algorithms that govern their operation are unlike those
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year. We currently have 1,900 employees and 18,700 students. In the coming years, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both
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prediction model, and a cost-effective algorithm for bleeding evaluation. All BDUC patients registered or investigated in the six Dutch Haemophilia Treatment Centres (HTCs) will be included. Our goal
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and/or research experience in one or several of the following areas: methods and models related to power system protection and control or real-time systems and power system automation studies
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exploited is critical. The goal is to develop a language-agnostic verification approach, following on promising results related to the Solidity language. While our current digital infrastructure relies