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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 11 days ago
the prediction of vehicle flows, energy demand, and flexibility of electric vehicle fleets, with applications to energy and transportation systems. The work lies at the intersection of systems and control, data
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major international research effort. Project: EUmetriosis Please note that Garda vetting and/or an international police clearance check may form part of the selection process. For an information package
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information, technology, and hardware which is subject to European or US export control and sanctions regulations. During the recruitment process, the Agency may request applicants to undergo selection tests. Additionally
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-identification, and version control. • Collaborate with clinicians, engineers, and data scientists to integrate imaging biomarkers into predictive and diagnostic models. • Contribute to study design, IRB
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GDPR: https://ichf.edu.pl/files/intranet/rodo-tresc-obowiazkowa.doc By submitting the application you consent to the processing of your personal data in the recruitment process. The controller of your
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process diagnostics with closed-loop process control of AM platforms, and work with fellow researchers to implement machine learning algorithms based on in-situ data collection and analysis. Minimum
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targeted to the project as a whole and/or the specific subprojects mentioned above The starting date is 26 September 2026 at the latest. Screening is part of the selection procedure About the department
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to learn, pro-active and responsible attitude, intellectual independence. Excellent command of English and Italian. Italian is likely to be needed as some projects will focus on Italy. Fluency in Spanish is
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predictive control of carbon mineralisation through high-throughput mineralogy and machine learning.” This is an exciting opportunity to contribute to innovative research at the interface of mineralogy
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materials for quantum sensing applications, such as NV centers formed within diamonds. Specifically, spin characterization of color centers by electron spin resonance method, crystal processing to control