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of pathogen populations to antibiotic treatment across various time scales - compare the predictions of these models to epidemiological data available from public databases in various countries, particularly
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), through its Next Generation of AI initiatives. The position is desired to be filled no later than December 1, 2025. Modern backend systems rely heavily on SQL databases, yet their energy footprint is poorly
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elements of the chain (transmitter, data centre, core and access network, terminal). This model will be based on a combination of data from the literature, life cycle analysis databases and assessments
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urgent to address the sustainability of database queries. The GREENSQL project tackles this challenge by combining reproducible measurements with advanced AI models to estimate, validate, and optimize
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project activities and writing reports Your Profile MSc or PhD in a relevant field Experience with Machine Learning modeling Coding experience, preferably Python Basic knowledge of databases tools and
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Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Spain Application Deadline 17 Sep 2025 - 23:59 (Europe/Madrid) Type of Contract Temporary Job Status Part-time Hours Per Week 30
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statistical analyses on large databases Designing and running experiments Structural modelling and related econometrics Proving theoretical results Basic Qualifications Bachelor’s degree by start date (required
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) and Aurélien Quiquet from the Laboratoire des Sciences du Climat et Environnement (LSCE), an expert of the GRISLI model, in interaction with the PhD student on the ANR Delta project (coordinated by Y
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 2 days ago
for the new MPC prototype, and a PhD student creating and testing automated diagnostic algorithms using unique in-vivo databases from clinical trials launched by the LPICM in collaboration with several
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Responsibilities: Digital Tool Development:Develop digital tools to monitor and analyze the determinants of urban health using sensor data, public databases, and GIS. Predictive Modeling:Design predictive models