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machine learning, distributed systems, programmable hardware, statistics, and applied mathematics. Our culture is steeped in the idea that we will never stop solving; we’re looking forward to supporting
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Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Marco Fazzi Application Deadline
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of Business at Duke University invites applications for the position of Adjunct instructor to teach in the PhD program in the 2026/2027 academic year. This position, in conjunction with three other faculty
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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addition to teaching duties, the PhD candidate is expected to conduct research in the field of (deep) machine learning, with applications in either biomedical image understanding (e.g., surgical video analysis in
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 3 days ago
will focus on the following main tasks: 1) Machine-learn optimal reaction coordinates for the barnase-barstar complex, starting from ~0.1 millisecond high-dimensional MD (generated by a previous PhD
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Physics-Informed Digital Twin for Guided Wave-Based Structural Health Monitoring (SHM) of Offshore Wind Turbine Foundations Offshore Wind CDT PhD Research Project Directly Funded UK Students Dr T
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into company valuations. You'll apply cutting-edge machine learning techniques (transformer models, causal forests, double machine learning) to understand which aspects of patent language predict valuable
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 10 days ago
machine learning where appropriate. The successful candidate will have: A PhD in Data Science, Statistics, Machine Learning, Computer Science or a similar quantitative discipline or demonstrable equivalent