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: This project is an interdisciplinary effort at the frontier between Biology (Genetics, Genomics), Bioinformatics, Artificial Intelligence (Neural Networks) and Statistics (LMMs). The aim is to join the
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models (LLMs), have demonstrated remarkable capabilities but remain limited by their heavy computational requirements, lack of interpretability, and tendency to produce unreliable outputs (“hallucinations
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of life-history traits on demographic dynamics in ecological communities. He will study the evolution of life history traits at the macroevolutionary scale, in relation with the species with which
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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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researcher will be responsible for carrying out actions 1-Analysis of the biodiversity of phytoplankton communities in high-altitude lakes in relation to the effects of climate change and 4-Assessing the links
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the synthesis of the nanowires and their assembly into networks (by soft chemistry), while the synthesis of the matrix (CVD deposition) will mainly be carried out by a PhD student already recruited
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recorded the ground movement along more than 450 km of underwater optical fiber of the Chilean GTD network for two years. • Detect low frequency transient signals in DAS data. • Identify more specifically
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karstic networks and alluvial terraces lying on the top of the foothills. The work will be mainly based on already existing and new TCN dates in order to: (1) gain an overview of the oldest remaining
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called MCTPs (Multiple C2 domains and Transmembrane region Proteins) forming a tightly constricted tubular ER structure surrounded by a PM tube. PD operates as critical routes for communication and
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region Proteins) forming a tightly constricted tubular ER structure surrounded by a PM tube. PD operates as critical routes for communication and molecular exchange between plant cells. They regulate