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that collectively represent an object or a scene. This data structure plays a crucial role in distributed autonomous systems, enabling applications such as augmented reality, autonomous vehicles, and environmental
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track record of industrial and academic collaboration globally and has published a large number of papers on 2D materials in Nature Communications, Advanced Materials, Advanced Functional Materials
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or economic sustainability. Legal issues include, among other things, the effectiveness and relevance of law and institutions in achieving environmental objectives such as biodiversity and climate adaptation
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digital biological system for generating labeled data using biology-informed DNNs and GenAI. The objectives will be achieved by combining methods and techniques from separate research fields – (a
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Uppsala University’s tenure track system grants assistant professors the possibility to be assessed for promotion to the position as associate professor. The university provides support in various
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Assistant Professor in artificial intelligence (AI) with a focus on precision medicine (PA2025/1776)
Assistant Professor (Associate Senior Lecturer in the official Swedish translation) at Lund University. You develop your qualifications over a period of 5 years and the position is tenure track with
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Professor at Lund University. You develop your qualifications over a period of 5 years and the position is tenure track with possibility for promotion to permanent employment as a senior lecturer. You will
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duties Employment as an assistant professor is a tenure track position, which aims for the holder to develop their independence as a researcher and educator. The work duties mainly involve research and
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artificial intelligence, as well as a track record of translating such findings into practical applications for end-users. The position is funded by the Swedish Research Council and is part of the project
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. The project focuses on innovating solid waste processing through AI (iWASTE), supported by AI@MDU initiative framework. The objective of this project is to develop new solutions for solid waste (SW