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Field
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Designing and developing scalable algorithms
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under the following conditions: OBJECTIVES | FUNCTIONS Analyze mass spectrometry data for microbial identification. Assist in the curation of spectra and the development of identification algorithms
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of artificial intelligence systems. Relevant areas may include, but are not limited to, algorithmic fairness and bias, transparency and accountability of AI systems, AI safety and alignment, privacy and data
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
the motivation of gender-fair insurance pricing. As appropriate, the Postdoctoral Fellow will also collaborate with other researchers to develop scalable computational algorithms and translate the proposed
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Management Science journals, and/or the MSOM journal. The candidate should be able to understand the model, the algorithm(s), the main results and the proofs in a paper. • Experiences with submitting (new
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wireless communication systems and standards. Our research spans fundamental theory, algorithm design, system-level analysis, and practical implementations for 6G and beyond wireless technologies. We work
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at Tampere University focuses on next-generation wireless communication systems and standards. Our research spans fundamental theory, algorithm design, system-level analysis, and practical implementations
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, converter control, and energy systems. Design, model, simulate, and develop advanced power electronic converter topologies and associated control algorithms. Investigate high-efficiency and high-power-density
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on Multimodal Intelligence. The role involves developing and advancing novel algorithms for emerging challenges in Multimodal Intelligence, including Multimodal understanding and generation. The candidate is also
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systems, using techniques from areas such as functional analysis, operator theory, ergodic theory, differential geometry, data science, and/or machine learning. Implement algorithms that efficiently analyse