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social species, inter-individual variations in the use of different strategies remain largely unexplored. The PhD project aims to identify the individual factors influencing the use of different strategies
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cooperate is well documented in many social species, inter-individual variations in the use of different strategies remain largely unexplored. The PhD project aims to identify the individual factors
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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through the manufacturing and characterization of test devices. To face the multiple challenges of the energy transition, whether at the generation, transport or use of electricity, extremely efficient
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oxidized materials, demands the development of new methodologies for reduction, deoxygenation, and the direct use of oxygenated bonds to access functionalized and useful organic molecules. In organic
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the imminent multidimensional crisis of climate change, biodiversity loss, and growing inequalities, there is an urgent need to enable societal transformation for the conservation and sustainable use
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, modeling, and evaluation of proactive tactile communication from robots to humans. While touch is a fundamental channel in human–human interaction, its use in human–robot interaction remains limited and
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. Participate in project design, - use and develop new methodologies, - carry out experiments, - analyze and communicate results, - write research reports and articles. The candidate will use a wide range of
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the following ones. Exploration of active auditing techniques for large machine learning models, use of reinforcement learning, potential application to recommender systems. The PhD will mainly investigate
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for the early patterning of the developing brain To use a variety of technologies to investigate CR cell specification, subtype diversity, and their impact on regionalization and lamination To implement