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quantification and data science. Potential investigation areas: • Enhancing Monte Carlo and Markov Chain Monte Carlo (MCMC) with reinforcement learning. • Developing adaptive tuning and continual learning
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-specific needs, but include: site evaluations or modeling, project coordination, interviews, data collection and/or analysis. Connections to professional practice and to emerging technology and ideas in
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diffusion models usually needs to access a pre-trained model multiple times sequentially to generate high-quality images or videos, which is time-consuming. The training process of diffusion models is also
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these institutional arrangements influence public space outcomes such as accessibility, safety, social value, and sustainability. Key questions include: How can governance structures better coordinate the multiple
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portfolio across multiple sectors and disciplines, serve as a key member of the ACEP leadership team, contribute to strategy, operations, and collaboration across programs, lead research teams, build new
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candidates with a background in cell cycle regulation/mitosis and cell biology. The duration of mitosis is tightly regulated by multiple factors, including the spindle assembly checkpoint (SAC
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PhD candidate Utrecht Centre for Accountability and Liability Law Faculty: Faculty of Law, Economics and Governance Department: School of Law Hours per week: 36 to 40 Application deadline: 25
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structured mentoring for future independent research careers. · Gain experience in manuscript and grant writing, regulatory science, and team leadership. Additional Information · This position does not involve
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at universities, such as thesis supervision and assisting in courses. Requirements Desired profile A master degree in computer science, artificial intelligence, human-computer interaction or similar. Self-drive
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use by the group employ multiple-input multiple-output (MIMO) technology and can be connected to build a distributed and cooperative network. To develop signal processing techniques, the group