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Gevorgyan (ashot.gevorgyan@lnu.se ) Human Resources Consultant: Stina Andersson (stina.andersson@lnu.se ) Linnaeus University has the ambition to utilize the qualities that an even gender distribution and
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theoretical research, algorithm design, and the development of software tools that demonstrate the applicability of the new methods. Research environment The positions are hosted by the Department
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of scientific data, e.g. from image acquisition modalities or scientific simulations. Efficient algorithms are at the core of most of these data analysis and visualization applications. The focus of this Ph.D
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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contact: Prof. Eduard Hryha, director of CAM2 and topic leader: hryha@chalmers.se Prof. Uta Klement, head of Division of Materials and Manufacture: uta.klement@chalmers.se We look forward to your
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into how algorithmic systems influence the circulation of information and disinformation across digital platforms, and how such processes affect perceptions of credibility, truth, and democratic
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build the sustainable companies and societies of the future. Pervasive and Mobile Computing (PMC) research subject addresses fundamental challenges in distributed systems and mobile networks, enabling
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build the sustainable companies and societies of the future. Pervasive and Mobile Computing (PMC) research subject addresses fundamental challenges in distributed systems and mobile networks, enabling
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to treat colleagues and students with respect, take responsibility for their work and contribute to a good working environment. We value the qualities that a balanced distribution of age, gender, and
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scheduling in shared workspaces - Shared autonomy and predictive learning - Human-robot teaming in distributed decision-making Sensing and perception - Collaborative perception and localization - Learning