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Field
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PhD candidates and close to 3000 BSc and MSc students apply aerospace engineering disciplines to address the global societal challenges that threaten us today, climate change without doubt being
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-efficient artificial intelligence (AI) applications. However, this new computing paradigm faces various design challenges in terms of design and technology challenges, application mapping and reliability
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) relevant to the manufacturing of aerospace thermoplastic composites, and will play a key role in linking experiments with simulations from a companion PhD project. The work will involve close collaboration
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to events, research meetings, and grant applications; Collaborate in team science with other researchers. What do you have to offer Your experience and profile: A PhD degree in communication science
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Job description Various emerging device technologies and computing paradigms are being investigated for energy-efficient artificial intelligence (AI) applications. Some examples are RRAM or STT-MRAM
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, artificial intelligence, computer science, or related field. strong enthusiasm for these fields, specifically with enthusiasm for drones excellent research and analytical skills, including experience with
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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge
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Job description Computation-in-Memory (CIM) is being investigated for energy-efficient artificial intelligence (AI) applications. However, this new computing paradigm faces various design challenges
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for computing performance guarantees of autonomous AI agents under uncertainty, which will be integrated to various degrees into a use-case with self-driving shuttles. Based on your experience and interests, you
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description You will develop and validate advanced AI models that integrate medical