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teams aim to increase the diversity and dynamism of data, services, interaction devices, and use cases in order to influence the evolution of software and systems to guarantee essential properties such as
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning
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to work on the use of hyperspectral data to explain and predict soil functions and communities in European mountains. We are looking for a candidate who has a very good command of artificial intelligence
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photophysics and interaction with biologists. Working conditions: - Easy access to the site by public transport and bicycle - Possibility of partial coverage of subscription costs by the CNRS - Meals available
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interaction with technical systems. The laboratory is organized into four departments: • Automation, • Computer Science, • Mechanics, • Human and Life Sciences (SHV). Where to apply Website https