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neuroscience, and brain-computer interfaces, machine learning and deep learning, statistical modelling, regression methods, and uncertainty quantification, calibration, interlaboratory comparisons, and
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resonance imaging data among other imaging modalities, machine learning methods for prediction, treatment effect estimation, and contribute to understanding brain biomarkers of Alzheimer’s disease and their
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 6 days ago
repeated over several trials (to collect multiple samples) before making a decision. For these applications, statistical methods for hypothesis testing and estimation are needed, with formal guarantees
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quantitative and computational methods and a background in gender-based violence, demographic change, and social inequality, with particular expertise in Intimate Partner Violence (IPV) and Violence against
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in English. Where to apply Website https://www.isep.ipp.pt/New/ViewNew/7360 Requirements Research FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Research FieldEngineering
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intelligence, and multimodal learning. The main objective of this position is to develop novel generative AI methods for computer vision applications, with a particular focus on Diffusion Models and Vision
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manufacturing. The role sits within the £13M EPSRC Hub for Advanced Long-Acting Therapeutics (HALo) (https://www.liverpool.ac.uk/celt-global-health/halo/), a nationally leading initiative spanning universities in
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) Qualifications and skills enabling the achievement of the Laboratory of Entomology goals, including knowledge of applied entomology, methods for identifying insects and mites inhabiting vegetable, ornamental, and
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authoritarian regimes. Knowledge, Skills and Abilities: General understanding of scientific theory and methods, typically gained through completion of an undergraduate degree in a related field. General computer
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guidance, navigation, and control (GNC) systems. The successful candidate will develop and validate Bayesian and non-Gaussian estimation algorithms, data assimilation methods, and tracking frameworks