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optoelectronic materials through advanced characterization and AI-guided optimization of epitaxial growth parameters. The PhD student will work on the various technological building blocks of the epitaxial growth
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experimental data (from ex-situ and in-situ measurement). Therefore, she/he will develop a way to optimize/guide the experiments trough artificial intelligence approach (machine/deep learning) that he will
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laboratory of the Paris Observatory is offering a two-year postdoctoral position dedicated to interdisciplinary research at the interface of artificial intelligence and digital humanities. Specifically, 80
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The growing integration of Artificial Intelligence (AI) modules into safety-critical embedded systems (autonomous vehicles, drones, industrial and medical devices) raises major safety and security concerns
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experts in artificial intelligence capable of designing innovative solutions that facilitate user support in their professional and daily activities. This resolutely interdisciplinary program includes
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technology, SPINTEC has several postdoctoral openings for a duration of up to 24 months. The work will be carried out within the RF Spintronics and Artificial Intelligence teams of SPINTEC, in close
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Minimum education and/or experience required: PhD obtained less than 3 years before date of hire in Computer Science, in one of the following areas: Data Science, Artificial Intelligence, or related field
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: renewable until 31 January 2029 (3 years) Salary: €2,975 gross per month ( roughly 2400 net per month) Contract Specifics: The position is funded by the AI4CI Master’s program (Artificial Intelligence
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for Artificial Intelligence. https://miai.univ-grenoble-alpes.fr/ Activities Develop and evaluate deep learning tools for MRI fingerprint data Write scientific articles Present results at international conferences
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University, is recognized for its expertise in artificial intelligence and formal methods In this stimulating academic context, we will focus on the problem of explainability of artificial intelligence models