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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
decidable and solvable via a SAT-Solver. This approach has a major flow as it is not possible to be sure that the formula is satisfiable for larger models. Interestingly, communities in Knowledge
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that enable interpretable models to learn from deep representations. In this project, the researcher will develop theory and algorithms for (hybrid) model selection that allows to exploit domain knowledge
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University of Reims Champagne-Ardenne (URCA) | Reims, Champagne Ardenne | France | about 1 month ago
research and provides more than 29 000 students with a wide range of initial undergraduate and graduate studies programs which address society's needs in all domains of knowledge. For the research part
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models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data mining has allowed us to obtain insights from large amounts of data for decades, and it is worth
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interpretable models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data mining has allowed us to obtain insights from large amounts of data for decades, and it is worth
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affective and embodied knowledge into journalism and documentary filmmaking’, led by dr. Johana Kotišová. Join our team! We are looking for a talented and motivated PhD Candidate who cares about journalism
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Advanced Grant project FLOW. This project investigates the functional roles of brain oscillations for human cognition (attention, memory, cognitive control), explores how brain and body rhythms interact
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HPC environments Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students Knowledge of biology and medicine is a plus Highly
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We are looking for three motivated and curious PhD students to join our ERC Advanced Grant project FLOW . This project investigates the functional roles of brain oscillations for human cognition
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and 33.33% for men, so there is an under-representation of men in this job category. Second. Requirements for applicants. Compliance with the requirements listed below must always refer to the date