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networks and advanced research infrastructure, SII-Lab , makes us a competitive international actor. About the research project The research will be conducted on enabling the manufacturing industry
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experience with Python and C++. Knowledge of motion planning under uncertainty is considered an additional merit. The applicant should have strong collaborative skills, communicate research effectively in both
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the consequences for fish diets and growth. Fish farming and nutrient status – studying how open cage aquaculture affects nutrient dynamics, invertebrate communities, and energy transfer to fish
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frameworks of star formation. Our research team is active in a number of international collaborations and the position includes ample possibilities for building collaborations and networking. Who we
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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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for self-deployable 6G networks in the edge continuum (EC-DEPLOY-6G) pioneers the use of large language model–driven agents to autonomously configure and deploy 6G and cloud functions. The project leverages
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research community. The position is based in the division for Analysis, Algebra, and Dynamical Systems (LTH). The postdoctoral position is connected to the study of partial differential equations (PDEs) in
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Uppsala University, Department of Information Technology In this project we will conduct research towards trustworthy and robust use of neural networks with applications in epidemics. We consider a
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well as internationally, and the recruited postdoctoral candidate will benefit from interactions in a highly collaborative network. Responsibilities Members of the research group and collaborators will interact closely and
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, supervise MSc projects, and engage with a vibrant network of national and international collaborators. The recruited candidate will work in the AIMLeNS lab lead by Assoc. Prof. Dr. Simon Olsson at Chalmers