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for AI systems Verification, validation, and benchmarking of hardware accelerators What we expect A PhD (or equivalent) in Electrical Engineering, Computer Engineering, or a closely related field A
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modern machine learning methods, particularly attention-based neural networks within computer vision and/or natural language processing, and you are comfortable working with data-driven approaches
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, as well as other sustainability relevant endeavours Integrating advanced machine learning methods in thermodynamics for computer-aided property predictions, molecular and product design and
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, as well as other sustainability relevant endeavours Integrating advanced machine learning methods in thermodynamics for computer-aided property predictions, molecular and product design and
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Characterization groups, which develops quantum photonic technologies for future fault tolerant quantum computing processors, while designing activities will be performed with the NQCP Theory and Simulation team
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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) is establishing a talented and diverse international team to create a cutting-edge quantum programme in the heart of Copenhagen
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technology and characterisation. Background within image processing, computer vision, or related fields. Background within in-line process monitoring or related fields. Furthermore, it is an additional
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project courses and BSc and MSc thesis projects and co-supervise PhD thesis. Have high self-motivation to learn. The selected candidates will be enrolled in the Lecturer Training Programme at SDU