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HAICu project to help unlock the potential of cultural digital archives through multimodal use, providing richer context and a more comprehensive analysis of current complex issues in society. If
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
involving complex fluids that interact with gases, other fluids, or solids. The role also includes examining how these systems respond to perturbations in material properties and environmental conditions. The
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We are seeking to appoint a Postdoctoral Researcher to join the Oxford Kidney Pathology Group. Your work will include analysis of omics data generated from human kidney biopsy tissue, as
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from complex and heterogeneous waste streams. High-quality recycling increasingly depends on advanced sensing technologies that can accurately characterise scrap properties and identify alloy types
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Acceptable Education & Experience: A Ph.D. in applied mathematics, physics/applied physics, acoustics, or related discipline. Strong communication, writing, and programming skills. A demonstrated ability to
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to their ongoing research programme, which aims to unravel the complex mechanisms underpinning 3-dimensional growth in plants. About you The successful applicant will hold a relevant PhD, together with experience in
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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, AISTATS). Theoretical Rigor: A deep understanding of reinforcement learning foundations, with the ability to perform convergence and finite-sample analysis of complex, non-linear continuous control
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identification, gene cluster family classification, and functional prediction, to work with highly fragmented and complex eDNA datasets. This project is part of the larger European AEGIS consortium, bringing
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods