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systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess their impact on system reliability and trustworthiness, and develop cross-layer defenses
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combination with machine learning and/or data mining techniques • Explainable AI/ML using visualization • AI/ML-empowered visual analytics of multivariate networks (network embeddings, …) • Large Language Model
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postdoc, you will collaborate with a network of theoretical and experimental physicists at Chalmers and with international partners in the FLAG-ERA project ThinQ. You will also have the opportunity
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research, often in collaboration with industrial partners. The project is part of the Competence Centre for Catalysis (KCK) and the Chalmers Area of Advance Energy, which provide strong networks and
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the department’s environment and networks, both internally and externally Qualifications A doctorate in mathematics or another field relevant to the assessment criteria below, or possesses an equivalent degree from
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architecture and forest structure analysis. We expect you to develop innovative research and report findings in high-impact scientific journals. We expect you to network and collaborate with remote sensing
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and flexible work environment, with opportunities for collaboration and networking both within Chalmers and internationally. Chalmers is an employer that actively promotes equal opportunities for women
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will have the opportunity to collaborate with the strong multi-disciplinary and international professional network between researchers and industry associated with the WASP. The RAI team conducts
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experience with interdisciplinary research networks, and a record of successfully attracting external funding for interdisciplinary research projects. To be able to use computationally intensive methods
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-coding RNA (lncRNA) genes in plant genomes. The Knut and Alice Wallenberg Foundation (KAW) funds this two-year postdoctoral scholarship. The scholarship amounts to 348 000 SEK per year and is not subject