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and glycoproteomics. Computationally, they will engage in the analysis of various ‘omics data, be involved in using and improving AI models for glycan structure prediction, and perform biosynthetic
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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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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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clinical applications of novel cell and gene therapies in one integrated setting. In this environment, our research group focuses on combining novel genome engineering tools (e.g., CRISPR-based) and
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part of the Swedish Research Council (Vetenskapsrådet)-funded project “PolyKinetics” and is based in the Laboratory of Organic Electronics at Linköping University, Sweden. As part of this project, you
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Conservation D. How plant cell shape and tissue structure help cells stick together E. DETERMINER - Determining appropriate monitoring frequency for phytoplankton F. Predicting bacterial protein expression
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amplifier performance. By combining advanced device measurements, empirical modeling, and power amplifier design, this project will generate new insights into the material, process, and design factors
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relevant to the project. Ability to independently plan and conduct research projects relevant to the position. Experience with research projects involving external partners, and good communication skills in
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system stability in grids increasingly dominated by converter-interfaced energy resources. In addition, the project will feature extensive laboratory-based work, offering valuable hands-on experience with
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-interfaced energy resources. In addition, the project will feature extensive laboratory-based work, offering valuable hands-on experience with advanced energy technologies. About us The Division of Electric