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. A successful candidate should have very good knowledge in quantitative methodology and related analysis tools, in particular very good knowledge in analysis with registry or survey data from various
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platforms, security analysis, adversarial AI attacks and defences, intrusion detection, load management in mobile edge networks, or denial-of-service detection are considered as a merit. Earlier experience in
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Physicochemical and spectroscopic characterization of substrate performance, including sensitivity, reproducibility, stability, and matrix effects Quantitative analysis of spectroscopic data using multivariate
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methods to provide explainable outputs from AI models in presence of attacks on the models or data, and scalable methods that move beyond feature attribution aiming for root cause analysis and decision
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of performance and stability in Na- and Zn-based batteries. The work also involves data analysis, method development, and systematic documentation of research results. Furthermore, the postdoctoral researcher is
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7 Feb 2026 Job Information Organisation/Company Linköping University Research Field Biological sciences Researcher Profile Established Researcher (R3) Application Deadline 31 Mar 2026 - 12:00 (UTC
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of novel 2D materials (e.g., thin-film deposition by PVD and CVD). Proven programming skills (e.g., Python) for instrument control and data analysis. You are a highly motivated and independent researcher
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behavioral paradigms used to study somatosensation in mice, mouse colony management and transgenic mice maintenance. It is a particular merit if the applicant also has experience in quantitative analysis
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of the project’s digital infrastructure and analysing the Swedish folk high school based on large-scale data. You will have the opportunity to develop and apply data-driven methods, handle large digital archives