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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | 28 days ago
dynamics in health and pathology; (2) in silico models, including Bayesian models, neural mass models and spiking neural networks; (3) in vitro neuronal network measurements. Our aim is to innovate in
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applications. The project aims to address fundamental theoretical questions related to the representation and measurement of the polarization state, as well as the use of Bayesian and/or statistical learning
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appreciated. - Advanced statistical modeling (GLMMs, state-space models, stochastic Bayesian programming) in R - Experience with bioinformatics, if possible experience in the use of RAD-seq and/or lcWGS data
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
images, including Positron Emission Tomography, temporal multi-modal MRI and Histology, which we use for models training and validation. Objectives A key research focus of our group is the optimization
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(publications, conferences). The research activities and objectives are to : - Document the abundance and diversity of phototrophs in clouds, with a focus on diatoms, their pigments and their potential
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(fMRI), and eye-tracking measurements (main task) – Data analysis (main task) – Interpretation of results (main task) – Dissemination of findings through the writing of scientific articles (main task
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of London Cancer Institute. Objectives: The aim of the project is to study chromatin remodeling defects in cancer. The successful candidate will be responsible for designing and executing experiments
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conduct directional freezing experiments coupled with confocal microscopy to study the freezing stability of soft objects. They will develop methods for the preparation and physicochemical characterization
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accelerators. The main objective of the postdoctoral project is the design, optimization, and implementation of compact focusing optics and beam diagnostics tailored to the specific characteristics of electron
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of replicable quantitative methods to infer their role in past cultural systems would allow a thorough documentation of their evolution in relation to other aspects of Pleistocene material culture. The objective