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approach, combining quantitative genetics, experimental evolution, and meta-analysis, to explore the potential of sexual selection in females at both micro- and macroevolutionary scales. Using the red flour
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their vulnerabilities. In this context, participatory methods can play a pivotal role in the collection, analysis, and dissemination of data related to natural hazards. By mobilizing local knowledge, lived experiences
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optimization of complex systems, intelligent data and information systems, as well as networks, distributed systems, and security. LIMOS stands out for its interdisciplinary approach, combining theoretical
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perform analysis, requiring to work closely with them, to design relevant features in our algorithms and adapted interfaces for interaction. 3. Position description This PhD project aims to develop Computer
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to modern genomic datasets that may involve hundreds of populations. He/she will also develop probabilistic GO models inspired from the Redundancy Analysis approach and extend it by introducing Neural
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microscopy would be an asset. Applicants should hold a Mater degree in Biochemistry, Cellular Biology, Molecular Biology, Oncology or related disciplines. Our team is interested in the functional analysis
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. • Knowledge of liquid–liquid extraction processes would be a strong asset. Soft skills: • Experimental rigor and critical analysis skills. • Autonomy, scientific creativity, and a sense of innovation. • Good
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conditions. Profile: Required degree: Master's (M2) in Ecology and Evolution - Specialization: Modeling in ecology and evolution, theoretical ecology Expected skills: - Statistical analysis - Mathematical and
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will be responsible for performing a sensitivity analysis of SDM modelling applying for five gorgonian species applying BIOMOD2 to the same data set as the one used in Blouet et al. (2024) and extend
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closely with our collaborators to establish a deep learning-based image analysis pipeline. The successful applicant should hold a PhD in cell biology or neuroscience. Previous experience in live cell