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accompanied by targeted technical solutions and a strengthened non-proliferation framework. This PhD will develop the first comprehensive technical-policy framework for secure large-scale tritium transport
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the project. Main Tasks Extract genomic DNA from herbarium and fresh plant tissues using standard commercial kits (e.g. DNeasy Plant Mini Kit). Perform PCR amplification of target markers and prepare genomic
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identify therapeutic targets. These efforts will generate large-scale, rich in vivo perturbation datasets, requiring scalable and reproducible pipelines for guide demultiplexing and assignment, cell-type
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 1 month ago
specifically, we use simulation-based inference (SBI) [1], a Bayesian approach that leverages deep generative models, such as conditional normalizing flows and score-diffusion models, to approximate
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molecular data. 3. Identify when and why embryos fail using targeted computational perturbations. This inherently interdisciplinary project lies at the intersection of developmental biology, computational
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silico model of normal development. Bayesian inference will calibrate model parameters and highlight control points, with predictive accuracy benchmarked against existing perturbation datasets. O3. Map
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for electric propulsion. This involves creating and deploying simulation frameworks for ongoing projects targeting the understanding of various devices and phenomena. Innovate in Uncertainty Quantification and
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, neurodegenerative, and inflammatory comorbidities. The chairholder will specifically focus on : 1/ Promoting precision psychopathology, developing more targeted prevention strategies, and proposing innovative
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, medical/life sciences and informatics to understand, predict and therapeutically target the mechanisms underlying health and disease. The HUMAN program is linked to and benefits from the BMFTR-funded Micro
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identify therapeutic targets. These efforts will generate large-scale, rich perturbation datasets, requiring the development of sophisticated approaches and methods incorporating facets such as machine