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(Qiskit, Cirq, etc.) - Fault-tolerant topological quantum computation - Quantum error correction - Topological / neutral-atom quantum computer & simulator platforms [Numerical & Computational Methods
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methods for electric motor drives Experimental testing for motor system Job Requirements: PhD degree in Power Engineering or related field At least 5 years of relevant experiences and technical hands
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requirements Candidates must have a PhD equivalent to a Norwegian doctoral degree in cell biology, molecular biology or equal. Successful candidates must have submitted their doctoral thesis prior
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new challenges and assignments. Education: The successful candidate will have completed a PhD in a relevant discipline such as hydrology, water resources, civil or agricultural engineering
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embraces innovative teaching methods, promotes a vigorous research ethos, and is committed both to Physics as a discipline and to its applications. Our key objectives are to provide students with the highest
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learning, AI interpretability, formal verification methods, modeling emergent risks from AI R&D automation. Candidates are encouraged to interpret these subject areas broadly. Fellows will have access
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computing models (non-von Neumann architectures) as a Methode for quantifying computational properties based on emergence and complex dynamics in nanomagnet systems. Nanomagnet metamaterials, Artificial Spin
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Pioneer quantum–omics method development in a leading statistical biology lab / shape your independent research profile and publication record / collaborate across QUBIC, Melbourne Integrative Genomics and
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proteins for high quality alternative protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use
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Schemes of Service: Research Division: Infocomm Technology Employment Type: Fixed Term Project Overview We are seeking an outstanding and highly motivated Research Fellow (PhD) or Research Engineer