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via email or postal services will not be considered. We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH
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research group aims to use this large amount of multimodal data from both cameras and surgical devices to develop an artificial intelligence system that can assist clinicians and staff in the surgical
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PhD1: A MSc degree in Artificial Intelligence, Data Science or Computer Science; good engineering skills; affinity with AI. Experience in NLP/IR is a plus. Experience in conducting research is also a
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the most energy‐intensive infrastructures in modern economies, with their demand projected to rise sharply as digitalisation, artificial intelligence (AI), and cloud computing expand. This growth presents
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high quality and robust integration. The PhD is situated in the Intelligent Data Engineering Lab and will be supervised by Dr. Jan-Christoph Kalo and Prof. Paul Groth. What you will do Your tasks and
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-Aware Artificial Intelligence (Prof. Dr. Simon Razniewski) Research area: Exploring the potential of LLM-supported mobility planning This position is offered in collaboration with the Collaborative
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-Computer Interaction, Artificial Intelligence. Assisting in the support of infrastructure and organization in the field of teaching and research. Writing scientific publications Participation in securing
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"intrinsically-aligned" artificial intelligence, where accuracy, fairness and explainability are all taken into account when selecting the "best" AI model. Requirements: The essential selection criteria include
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The Max Planck Artificial Intelligence Network (MP-AIX) has opened its general PhD call (applications via the ELLIS portal). The Multimodal Language Department, Max Planck Institute
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
of early onset dementia with Artificial Intelligence”. A central problem in healthcare is the increase in neurodegenerative diseases / dementia. The project aims to achieve early detection and differential