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Field
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, tremor-signal acquisition, and algorithm development. 2. Characterisation analysis and interpretation of tremor data, including maintenance of datasets, documentation, drafting technical reports and
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grid planning. Design and code efficient algorithms for large-scale optimization problems using the Julia programming language and packages such as JuMP.jl. Experience with Xpress and Gurobi are a plus
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 1 hour ago
questions in Earth System science is also a goal of this opportunity. Efforts are expected to be conducted in collaboration with the SAGE algorithm/data processing and validation teams, as
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 14 days ago
/10.48550/arXiv.1711.01666 Wan Y, Hu H, Xu Y, Chen Q, Wang Y, Gao D. A Robust and Accurate Non-rigid Medical Image Registration Algorithm Based on Multi-level Deformable Model. Iran J Public Health. 2017 Dec
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techniques. Familiarity with spatial transcriptomic technologies and biological data interpretation is a plus. Familiarity with optimizing cell segmentation algorithms for enhanced accuracy and efficiency, as
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self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed to irrigate
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cutting-edge analytical approaches (Multilevel Vector Autoregressive Models, Dynamic Structural Equation Modelling, Hidden Markov Models, Causal discovery algorithms, Reinforcement Learning), Contributing
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required. Expertise in optimization or efficient algorithm design will be considered an asset. Applications should include a CV, a list of publications and a research statement. Applicants should also
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
algorithms able to provide decision making in uncertain environments. He was PI of several projects, including ANR-JCJC project BADASS (BAnDits Against non-Stationarity and Structure), Inria Action
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digital twins using prediction-powered inference to enhance reliability assessment; The theoretical analysis and algorithmic development of methods rooted in statistical learning theory, multiple hypothesis