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Apply now Job no:535444 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Architecture/Art/Design, Research/Scientific/Grants, Environmental Studies Department: School of Architecture
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identifying suitable ultrasound technologies for muscles with varying architectures, integrating recording hardware, and establishing acquisition protocols to capture both electrical and architectural
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Apply now Job no:534219 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Architecture/Art/Design, Research/Scientific/Grants, Environmental Studies Department: School of Architecture
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employment. Please indicate your request in your application. Position#6: TRR404-TUD-B07 Project: B07 Reconfigurable Architecture Project Leader: Prof. Diana Göhringer (Chair of Adaptive Dynamic Systems) Terms
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. These finding define the strategy for developing a scalable quantum technology architecture. Our strategy is to establish use integrated colour centres for quantum communication tasks. Key here is to generate
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candidates seeking part-time employment. Please indicate your request in your application. Position#6: TRR404-TUD-B07 Project: B07 Reconfigurable Architecture Project Leader
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architecture. Your work tasks Join our interdisciplinary team and work with leading scientists in the fields of power electronics, control systems, power systems, communication technology, and innovation
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working across multiple fields. You will ideally have experience writing historical work or analysing art or architectural representations. Requisites 1st or a 2:1 in Architecture or adjacent
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 18 hours ago
investigate dynamic interactions between ecosystems and society at and across multiple spatial scales as well as options for responsible stewardship. Our research is highly interdisciplinary across the natural
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., StableDiffusion) and large language models (LLMs) based on the transformer architecture [6] (e.g., ChatGPT). In general, the above generative models need considerable amount of computational resources in terms