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individuals whose work addresses substantive economic questions—such as causal inference in high-dimensional settings, algorithmic behavioral economics, forecasting economic indicators, or modeling complex
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project is guaranteed to be feasible and with high impact, guided by a supervisory team with an extensive A+ publication record in algorithms and graph mining. Where to apply Website https://pica.cineca.it
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quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in collaboration with another
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iteratively refine algorithms to ensure scalability, reproducibility, and biological interpretability. Behavioral Representation Learning and Temporal Modeling (30%) Build canonical behavioral embeddings
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. Drafting of technical reports and promotion of results (publications, conferences). Where to apply Website https://www.imt-mines-ales.fr/ Requirements Research FieldComputer science » Computer
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on the complementary expertise and recognized excellence of its 22 research teams to contribute to the development of the fundamental aspects of computer science (models, languages, methods, algorithms) and to foster
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knowledge of R and Python programming languages in the areas of algorithmic trading and modelling of market risk; Specific Requirements other significant achievements (e.g., awards, scholarships) and
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languages in the areas of algorithmic trading and modelling of market risk; experience in creating or co-creating and implementing national and international teaching projects; experience in organizing and
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for Quantum-enhanced, distributed radar signal processing techniques that maximise target Signal-to-Noise Ratio (SNR). The algorithms we will derive will be applied and tested in the context of target detection
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, social benefits, and training opportunities. More information: https://en.bsp.uw.edu.pl/researchers/ Basic responsibilities and obligations The selected candidate will: • conduct scientific research in