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join the efforts of the consortium “DECIPHER-M: Deciphering Metastasis with Multimodal Artificial Intelligence Foundation Models”. This 5-year consortium is funded by the German Federal Ministry of
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opportunity to be part of the project “Bavarian Artificial Intelligence for Insect Monitoring” (https://go.ur.de/baimo ), which investigates the effects of climate change on insect populations as part of
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also sharable. The new position builds on successful recent modelling and Artificial Intelligence (AI) scientific developments and thus offers the best prospects for a career in earth system and climate
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positions for doctoral researchers in the field of reliable artificial intelligence. The background applicants come from can be very diverse. To earn the relAI certificate, PhDs need to earn credits in
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sharable. The new position builds on successful recent modelling and Artificial Intelligence (AI) scientific developments and thus offers the best prospects for a career in earth system and climate sciences
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artificial intelligence, biology, (cognitive) neuroscience, genetics, linguistics, mathematics, neurobiology, neuroimaging, neurology, neurophysics, philosophy, physics, psychiatry, and psychology
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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. Applicants are expected to provide evidence of experience through relevant publications and research activities (including successful acquisition of third-party funding) in image analysis using artificial
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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
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solutions for urgent societal challenges (e.g. communication, artificial intelligence, climate protection, health etc.). by modern electronic & photonic technologies. The work covers the full spectrum from