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Field
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approval, ordering register data, and conducting econometric analysis of large register-based datasets. Further tasks include conducting health economic evaluations, project planning, scientific writing, and
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simulations, computational modelling, and/or data-driven analysis to assess the impact of different climate policy pathways. Developing interactive AI-based narratives that communicate climate risks in ways
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for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation
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the field of multi-modal data analysis and generation, integrating computer vision, natural language processing (NLP), and machine learning to enable innovative interactions with unmanned aerial vehicles
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. Previous experience in flow cytometry, adipocyte or immune cell cultures, molecular biology techniques or analysis of large data will be considered a merit, but are not obligatory. We place great emphasis
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, Scientific image or microscopy data analysis. You should possess excellent analytical skills, a genuine interest in interdisciplinary research, and the ability to work both independently and as part of a team
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, Sweden, and the Netherlands, collaborating on qualitative, ethnographic research and data analysis. Duties include: Planning and conducting field studies and interviews in Sweden, Finland, and/or
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pipelines. Tools for robust data and model provenance in adversarial environments. Methods for protecting training data and end users, including secure data removal and machine unlearning. Machine unlearning
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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research activities, contributing to data collection and analysis, preparing reports or documentation, and collaborating closely with faculty, researchers, and students in relevant projects. This position