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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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systems. Emphasis is placed on developing algorithms and system architectures that increase robustness and autonomy under real-world conditions. 3. Automation Technologies to Improve Safety and Reduce Human
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applications in statistical genetics, developing new theory, algorithms, and scalable implementations. Starting date as soon as possible and upon individual agreement. The fellowship period is three years. A
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& Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable implementations. By establishing a new class of multi-frame
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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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impact society to understanding where these impacts occur, how they unfold in real-world settings, and who may be affected. In Europe, these concerns have led to major regulatory developments, most notably
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to understanding where these impacts occur, how they unfold in real-world settings, and who may be affected. In Europe, these concerns have led to major regulatory developments, most notably the EU AI
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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
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be the Head of the Computing Unit. About the project This PhD position is part of the EU Horizon project CIRES, which brings together leading academic and industry partners to develop new technologies