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Field
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by lentiviral and genome editing (e.g. CRISPR) methods Conduct qualitative and advanced quantitative fluorescence microscopy analyses Isolate proteins and assemblies from cancer cells for proteomic
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. Strong hands-on experience in bacterial microbiology, genetic engineering and bacteriophage methods is essential, together with some exposure to microscopy and quantitative data analysis. Experience with
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About the Opportunity Description PI Ruben van Genugten is hiring a research assistant for a project developing AI tools for memory research. We build natural language processing methods
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hardware verification and intelligence-oriented analysis of captured electronics. The PhD researcher will evaluate the scientific validity and limitations of the proposed methods and contribute to open
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implement advanced methods for Bayesian model comparison in JAX. These techniques will then be used to systematically explore alternative models for user-defined statistical problems. The second task is to
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of completes, etc. In-Person/Field Interviews : Coordinate field staff, logistics, and data collection methods. · Quality Assurance and Quality Control: Implement quality control measures. o Ensure
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, where both methods and interpretation must account for temporal dynamics. Data typically comes from intervention studies conducted in Gothenburg and or from large cohorts and biobanks from international
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political dialogue unfolds in real human-AI interactions, and with what consequences for political attitudes and behaviour. The project adopts a multi-method approach, including survey research, qualitative
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defensive hardware verification and intelligence-oriented analysis of captured electronics. The PhD researcher will evaluate the scientific validity and limitations of the proposed methods and contribute
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry