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interface of machine learning, statistics, probability, and with applications in statistical genetics, developing new theory, algorithms, and scalable implementations. Starting date as soon as possible and
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at the interface of machine learning, statistics, probability, and with applications in statistical genetics, developing new theory, algorithms, and scalable implementations. Starting date as soon as
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from September 2026. This is a trainee position that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired candidate will
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of dynamic physical systems and control system algorithms experience in software development, data analysis and AI practical experience in experimental work motivation and potential for research within
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-edge optical microscopy systems for biomedical applications. This project involves the development of compact, label-free quantitative tomography systems and inverse scattering algorithms to push the
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project RISK-AI which focuses on the Nordic‑Baltic context to examine how two healthcare cases with different AI-tools interpret the AI Act, define acceptable clinical risk, and develop strategies
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project RISK-AI which focuses on the Nordic‑Baltic context to examine how two healthcare cases with different AI-tools interpret the AI Act, define acceptable clinical risk, and develop strategies
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30th April 2026 Languages English English English The Kavli Institute for Systems Neuroscience has a vacancy for a PhD in Systems Neuroscience of Neural and Behavioral Algorithms of Pursuit Apply
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to investigate how to design AI artefacts, including user interfaces and algorithms, through participatory approaches that actively involve stakeholders (e.g., technology designers and actors from
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, including user interfaces and algorithms, through participatory approaches that actively involve stakeholders (e.g., technology designers and actors from the public and private sectors). This approach aims