239 algorithm-development-"Simons-Foundation"-"Simons-Foundation" PhD positions in us
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, and interdependent pathways) using time-resolved and spatially resolved spectroscopy, patterned illumination, and pH/thermal stimuli. Develop and validate logic maps for memory formation, consolidation
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collaborate on the GENSCOPE project. Each PhD candidate will develop an independent doctoral dissertation with its own research questions, publications, and expertise, while collaborating with the other PhD
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evolution, polyploidy, and algal biology and evolution. The candidate will join a highly collaborative and international research environment, with strong connections to major polyploidy initiatives
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Machine Learning within the School of Medicine at the University of Limerick. This is a methodologically focused PhD for candidates with strong quantitative backgrounds who wish to develop novel statistical
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machine learning and AI methods to develop clinical decision support systems for high-flow nasal cannula therapy. The project: Concerns around the possible negative consequences of delayed escalation
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Fully Funded PhD Studentship (Home Fees) Project Title: Developing Fair and Robust Cancer Risk Prediction Models Using Health Data Supervisor: Professor Angela Wood (Professor of Biostatistics and
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’ preferences in terms of ‘productive agriculture’ and ‘healthy biodiversity’ into quantifiable impact indicators; Develop a spatial optimization algorithm that finds land use configurations that optimize
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10th July 2026 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in Methodology Development for Utilisation of Mining Waste (waste rock and tailings
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significant reductions in manufacturing-related CO₂ emissions. The ambition is to develop innovative technological solutions that reduce energy losses and minimise environmental impact throughout the product
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significant reductions in manufacturing-related CO₂ emissions. The ambition is to develop innovative technological solutions that reduce energy losses and minimise environmental impact throughout the product