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Creation date"Creation date" is a predefined property that corresponds to the date of the first revision of a subject and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
17:22:22, 5 July 2023 +
Has query"Has query" is a predefined property that represents meta information (in form of a <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Subobject">subobject</a>) about individual queries and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
July 20, 2023 +
we are looking for a PhD candidate for the … we are looking for a PhD candidate for the research theme " Big data, AI and physically based modeling for hydrological risk assessment, mapping, and resilience in a changing environment".</br>The call is open at the University of Bari at this link and the deadline is July 20th. The successful candidate will work with my research group at the University of Florence (Italy). Expected start date: Autumn 2023.</br></br></br>You can find a short description of the scholarship below. Feel free to contact me if you have any questions at chiara.arrighi@unifi.it or contact fabio.castelli@unifi.it</br></br>Best regards,</br>Chiara</br></br></br></br>'''Research activity description'''</br></br>Changes in climate and socio-economic systems pose unprecedented challenges in the understanding of hydrological risks, such as floods and droughts, and of societal responses in terms of adaptation and resilience. Synergy among emergent (AI, big data-analytics) and more consolidated techniques (direct and EO observation, physically based modeling) are required to address such challenges. The research will focus on the integration of distributed hydrologic modeling and resilience dynamics system modeling to assimilate traditional and new sources of data with the aid of AI-based data assimilation techniquesd of AI-based data assimilation techniques +
PhD position +
PhD position in "Big data, AI and physically based modeling for hydrological risk assessment, mapping, and resilience in a changing environment" +
University of Florence +
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Italy +
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17:22:22, 5 July 2023 +
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