56 machine-learning-modeling-"LIST"-"CEA-Saclay"-"Humboldt-Stiftung-Foundation" positions in Norway
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UiO/Anders Lien 25th September 2025 Languages English English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description
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/Anders Lien 25th September 2025 Languages English English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description Position as
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SUMOylation, transcription factors, or chromatin dynamics. Expertise in machine learning or statistical modeling for biological data. Knowledge of enhancer-promoter interactions and 3D genome organization. All
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SUMOylation, transcription factors, or chromatin dynamics. Expertise in machine learning or statistical modeling for biological data. Knowledge of enhancer-promoter interactions and 3D genome organization. All
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, model-based imputation, genetic epidemiology, or the application of machine learning to registry data is highly valued. Clinical experience with patients suffering from headache disorders is considered
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need, this may be prepared from published field operation data, laboratory measurement or other sources. Machine learning can be used to select the bet data set for each particular cases covering
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illness. We have a large team working on developing technological solutions for these applications. We are seeking a computer science researcher to take an active role in developing novel machine learning
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settings, and (IV) frequent production of too many equally fitting models. The position will involve leveraging AI techniques custom-built for processing high-dimensional, noisy data to help CNA overcome
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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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of Informatics, Uni-versity of Oslo, and will be part of a growing research agenda at the intersection of epidemiology, statistical modeling, machine learning and public health data systems. The project aligns