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optimization, evolving error correction techniques, and applications. We use locally hosted quantum computers based on superconducting technology in our experiments as well as the resources of our national
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. melior, better) idea that the world can and should be made better through active human efforts. According to meliorism, a positive outcome is neither guaranteed (optimism) nor impossible (pessimism
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(optimism) nor impossible (pessimism). The team History of Ethics and Law of Responding to Suffering investigates how medieval and early modern thinkers conceptualised and responded to extreme human and non
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image analysis. Genetic analysis, complex strain construction through genetic crosses, and epigenetic approaches. Beyond salary and career development, we offer occupational healthcare, a subsidized lunch
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modified peptides, and handling sub-nanogram protein quantities. Optimize protocols for sensitivity, specificity, and reproducibility, and evaluate new MS data-acquisition and analysis workflows
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Professor/Assistant/Associate Professor, Governance of Food Security and Pharmaceutical Preparedness
sector perspective, research focuses particularly on the design of optimal regulation and incentives for companies and civil society actors. From the business perspective, key areas of interest include
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its core to the structures of its surface and its people. A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We
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, corpus construction, data and metadata work, FAIR principles, and linked data. Data-intensive research computing: reproducible workflows, containers, high-performance computing, Slurm environments, and the
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among migrant workers and in the platform ecosystem in Finland to examine how labour evolves in a transformed landscape of data-driven realities, how hierarchical power structures influence labour agency
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LLM-generated responses through structured question-answer-evaluation conversations. Combining computational and interpretive methods, the project will generate reproducible, cross-domain datasets