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Field
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perform measurements of AI algorithms to fill in the unknowns uncovered in such a data flow diagram. The energy scalability of the core algorithms of a new nationwide AI system can be predicted using
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Classification Title: OPS Biology-Focused Machine Learning Assistant Job Description: The OPS research assistant will support multiple ongoing research initiatives within the laboratory
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world networks have a multidimensional nature such as networks that contain multiple connections. For instance, transport networks in a country when considering different means of transportation
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science, is looking for a: PhD Candidate, Efficient LLM Algorithm, Hardware and System Design (1.0 FTE) Project description We
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. The successful candidate will play a pivotal role in a project centered around variational quantum algorithm in the near-term, especially on innovating advanced error mitigation or detection techniques to solve
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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- conducting processors with respect to practical short-depth (NISQ) quantum algorithms Cooperate and actively work with experimental partners developing quantum processors using these technological platforms
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practical basic algorithms and data structures in practical implementation experience. High-level programming languages (e.g., Python), proficiency in multiple languages is preferred. Preferably with medical
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(Required) Experience creating and utilizing statistical algorithms and conducting power calculations to determine sample size to answer complex research questions. (Required) Demonstrated experience working