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publishing in peer-reviewed scientific journals Your Profile Master’s degree in electrical engineering, physics, computer science, or a related field Strong academic background in embedded AI and in the
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solving security assessment and optimization problems at unprecedented speed and scale. While high-performance computing (HPC) has become the backbone of large-scale power system simulation, emerging
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geoscience and remote sensing methods with AI and advanced computing technologies for Earth observation (EO) applications, including climate science, forestry, or agriculture. Your doctoral research
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feeds Scaling analog in-memory computing towards large generative AI models H/F 192 / 778 vacancy Vacancy details Position description Category Micro and nano technologies Contract Internship Job title
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Your Job You will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15 Ph.D. students at 7 universities, one research center and
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Director, Cancer Prevention & Early Detection Center
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Your Job Several positions are available in distinct project areas: 1) Associative memory based computing: This project will utilize concepts including Dense Associative Memories and Modern Hopfield
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requires an unprecedented computing and storage infrastructure. Processing these enormous amounts of data in a future data center, however, consumes significant resources. The fundamental challenge is: How
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. Your Profile Currently pursuing a master’s degree in Computer Science, Data Science, Artificial Intelligence, Geosciences, Physics, or a related field Strong programming skills in Python and experience
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pretraining approaches that enable GeoFMs to generalize more effectively across a broad range of real-world EO applications. Your Profile Currently pursuing a master’s degree in Computer Science, Data Science