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ambitious research group with a strong focus on genetic, molecular, and functional analyses of B cell and antibody responses. The project will include laboratory-based research, extensive data analysis
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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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funded through a MERGE initiative to exploit these measurement data to clarify how different ecosystems influence aerosol particle properties and their climate effects. The project investigates how
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Cultivation of various cell types FACS and cell sorting Molecular techniques such as genotyping, RNA sequencing, ATAC-seq — depending on project requirements Data analysis Additional responsibilities include
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position, collaborating closely with the project team throughout all stages of data collection and analysis. The position will be supervised by Emma Johansson, Associate Professor at the Lund University
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22 Jan 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Mathematics » Applied mathematics Mathematics » Computational mathematics Researcher Profile
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refrigerators. Data analysis and interpretation of hybrid semiconductor-superconductor systems. Design and implementation of hybrid microwave amplifiers. Nanoscale device and circuit fabrication. Teaching in
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: Experience with femtosecond lasers, ultrafast optics and nonlinear optics Experience in high-order harmonic generation and attosecond physics Other skills, e.g. instrument programming, data analysis, vacuum
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, imaginaries, and emerging technology-impacted practices. Detailed description of the work duties, such as: Empirical data collection, for example, policy document analysis, stakeholder interviews, participant
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, sensor technologies, and data analysis for research focusing on automated health monitoring in dairy cows. About the project This postdoctoral position is part of a newly funded research project aimed