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Field
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This postdoctoral position focuses on securing large-scale distributed AI systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess
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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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spatial mass spectrometry. Experience with single-cell omics is also an advantage. Advanced biostatistics and machine learning, such as multivariate analysis, regularization, deep learning, or network
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following years. Your work will be guided by experienced researchers in your advisory group, but you will also benefit from the broad range of competences and networks of the full ANAFOR team. Qualifications
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networks, fairness, accountability, and transparency in learning systems. The advertised position is funded by the Swedish Research Council (VR). Supervision: Professor Aristides Gionis What we offer
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Gionis. The position is part of the European project ARMADA funded by the Marie-Skłodowska-Curie Doctoral Network. The ARMADA project operates within the fast-growing field of Conversational AI, aiming
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for clean, abundant energy, and the binding targets to reach net-zero emissions by 2050 are among the driving forces for this renaissance of nuclear power. After a long period with no new deployments in
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(ISAC), massive and distributed MIMO at sub-terahertz frequencies, and terahertz communications for satellite networks. The research will focus on the physical layer and media access control layer