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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
this context, the offer is about continual audiovisual robot perception, and aims to develop methods and algorithms to continuously extract cues about human behaviour from audio and visual data in real-world
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, chemical screening, structural biology, or mouse models. R, Python, statistical analysis, bioinformatics, large-scale data integration, or data visualization. Applicants with complementary experimental
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research project. Excellent English skills, written and spoken. Desirable experience and skills: You are experienced with DMS and NGS data analyses and visualization. You have an active interest in PQC
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member of a research group with responsibility for carrying out research on the visual properties and evolution of eyes in trilobites as part of a project titled “Windows to the past: functional evolution
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the study of clouds and cumulus convection Strong conceptual understanding of cloud microphysical and turbulent processes Expertise in the use of modern scientific visualization software (Python, Matlab, etc
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: Molecular modelling and simulation experience during PhD Ability to present complex information effectively to a range of audiences Experience of manipulating and visualizing large datasets We value
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with confocal microscopy. ● Experience with tissue culture of pancreatic cell lines. ● Experience with 3D cellular visualization. Brief Description of Duties: Stony Brook University is seeking a
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is an advantage; a publication record that is competitive for the candidate’s career stage, along with the ability to present findings clearly through scientific writing and visualizations; and the
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for individuals, organizations or society. You will be part of the SAIL research group, whose research activities focus on AI-based modeling of complex systems, uncertainty management in deep learning, visual
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dough mechanics. This project aims to establish this fundamental knowledge by combining nonlinear rheology, shear-induced normal force rheology measurements, and in situ visualization of microstructural