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of advanced modelling and machine learning methods, and may involve the following areas: Dimensionality reduction. Data-driven methods for estimating dynamical models Data-driven methods for estimating
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search will be used to explore combinations. Results: The developed methods are intended to allow the training of balanced but also specialised computer vision models, particularly in the field of face
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of Barcelona; Particle Physics Phenomenology group. Main responsibilities / tasks: 1. Develop anomaly detection methods using Machine Learning and Simulation-Based Inference for high-dimensional parameter spaces
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 3 days ago
Tong Zhang. Communication-efficient distributed optimization using an approximate newton-type method. In International conference on machine learning, pages 1000–1008. PMLR, 2014. [6] Lucas Theis, Wenzhe
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 10 days ago
FCT in Portugal (https://www.fct.pt/fct-atualizou-o-valor-das-bolsas-para-2025/ ), the amount of the monthly maintenance allowance is € 1040,98€, being the payment method by Wire Transfer. Eligibility
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developmental activities, with motivation to prepare and implement grant projects, acquire commercial contracts, and potentially engage in teaching activities. The Department of Neutron and Ion Methods
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Your Job: The CROP (Combining ROot contrasted Phenotypes for more resilient agro-ecosystem) project aims to estimate the beneficial impact of combining contrasting wheat root phenotypes in the same
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of the contest will be made available in the same admissions platform. Where to apply Website https://fenix.tecnico.ulisboa.pt/fenixedu-admissions Requirements Research FieldEngineering » Computer
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Application of regional hydrological methods to cross-sections on the Po River
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dentition and 3D topography; VL also pioneered the development of 3D topographic methods at PALEVOPRIM. Expected results Expected outcomes include estimating the strength of phylogenetic signal for various