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work focused on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and
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structures of the Universe, the distant Universe and advanced statistical methods. Funding will be provided for travels and for computer equipment. The applicant will have access to two high-performance
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
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of donor/recipient (D/R) epitope compatibility using two methods. HLA-Epicheck does not allow quantification of structural differences between two epitopes. The first option is to use the descriptors
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sides. Regular remote exchanges are planned. At least one short-term exchange (short-term mission) is also envisaged during the project. Good understanding of optimisation methods under constraints and
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in the Earth's outer core, with implications for deep Earth processes [1]. A variety of inverse methods (data assimilation, machine learning, etc.) has been employed to recover the fluid motions in
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movements by correlating Planetscope satellite images: testing, validation, and development of specific processing methods. This postdoctoral position is funded by the Labcom project. Catastrophic ground
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
. At the microscale, grain interactions—governed by nonsmooth phenomena, e.g. contacts, friction—drive the bulk dynamics at the macroscale, which challenge current modelling frameworks. Modern experimental methods
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on estimated movements using eDCCs. The research will focus on data simulated using the Monte Carlo method and real data from clinical SPECT scanners with a parallel collimator, such as those available at LUMEN