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Developing a non-coding RNA predictive biomarker in bladder cancer School of Medicine and Population Health PhD Research Project Competition Funded Students Worldwide Dr Jonathan Griffin, Dr Dan
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1 Aug 2026 Job Information Organisation/Company UNIMORE Research Field Medical sciences » Medicine Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 26 Aug 2026 - 13:00 (UTC) Country Italy Type of...
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 6 hours ago
]). One reason for this limitation is that models use a parametric projection to obtain predictions. This parametric projection has intrinsic limitations, forcing one to learn a model that can predict only
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maintenance of command-line and web-based applications deploying machine learning (ML) models for chemical synthesis planning, property prediction, and molecular design and will work closely with faculty
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Predicting reservoir and wellbore scaling in geothermal developments through integrated subsurface interpretation and modelling Award Summary 100% home fees covered, and a minimum tax-free annual
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directions include: ● Generative models of cell–cell communication . Move beyond descriptive ligand–receptor analysis to models that predict and help understand how cells react to signaling cues. ● Joint
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intelligence, as it develops model learning methods based on optimization, together with predictive validation procedures designed to assess the generalization ability of models on new data. Current approaches
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 6 hours ago
binary code, so to obtain the memory location of data an code 3) develop a novel algorithm for memory placement. For a better knowledge of the proposed research subject : Scientific references
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Science (DIHDS) and the Media and Innovation Laboratory (The MIL). The Manager applies advanced analytics, artificial intelligence, machine learning, predictive modeling, and related data-driven
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precipitation, leading to scaling within reservoirs and production wells that reduces operational efficiency. Predicting where these processes will occur is a challenge because they are controlled in part by