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interdisciplinary, and together we contribute to science and society. Your role Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 days ago
applications have been organized in different steps that interact with each other. The classical first step is to describe the application through a model. Through this model, a first process is operated
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Chemistry and Microbiology Cluster (CME Cluster), whose research focuses on understanding the mechanisms (physico-chemical and (micro)biological) at different scales (from the molecule to the ecosystem
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adipose tissue. In particular, we will study the role of different membrane receptors and their signaling pathways in the browning process. The various techniques used will include cell biology and genetic
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slicing. - Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand. - Propose and
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that shape the design of these circuits. The lab is dedicated to medical algorithmics on the applied research front, emphasising technologies implementable within hospitals. Notably, the lab’s medical image
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interactions, nanoparticles can form a variety of nanostructures, with many nanomaterials exhibiting polymorphism – the ability to crystallize into different structures under varying conditions. The internal
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different ice sheet models on comparable topographic configurations, in order to identify sources of uncertainty and possible improvements. 2. Contribute to ISMIP7 Antarctica experiments: carry out
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the cellular and genetic mechanisms that endow craniofacial muscles with specialized properties and resilience, particularly in the context of dystrophic and neurodegenerative diseases. Unlike trunk muscles