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Job Description Are you interested in uncovering the mechanisms underlying human social dynamics between dyads, groups, and networks, during real-time social interaction? We invite applications
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and data analysis as well as research management, oral and written communication, and networking. Participation to international conferences to facilitate successful integration into the cilia research
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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supportive, dynamic and ambitious research environment with a strong scientific and social network for postdoctoral fellows and good mentoring opportunities. Furthermore, you will have access to state
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environmental assessment and marine management. In surveying and land use, sustainability is reflected in our efforts in nature restoration and climate adaptation. As society continues to develop digitally, we
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transcriptomics Genome-wide CRISPR screening in both in vitro and in vivo disease models The project will involve identifying gene regulatory networks driving age-related phenotypes and exploring therapeutic
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regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field
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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics