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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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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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Ref no: ORU 2.1.1-03064/2025 Örebro University and the School of Science and Technology are looking for an associate senior lecturer (tenure track) in Computer Science, specialising in Cybersecurity
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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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should have experience in method development, and various molecular biology and biochemical analysis techniques. You should also have a strong research track record, as evidenced by first authorship
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collaboration between the AIXLab@Chalmers and Sahlgrenska University Hospital. At the AIXLab, our primary objective is to develop technical solutions that enhance the usability of AI. In partnership with
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employment: Karlskrona Employment level: 100% Commencement: To be agreed. Duration: Tenure track; initially 4 years with a right to be promoted to a permanent senior lecturer position when the assessment
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qualitative data into quantitative models. A track record of high-quality publications. The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers
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communication skills in English. Strong skills in programming and data analysis. Track record of scientific publications in international peer-reviewed journals. Meritorious qualifications include: Experience
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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