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PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
background in one or more of the fields of rock physics, petrophysics, seismic attribute analysis, seismic inversion (both pre- and post-stack inversions), and machine learning with geoscience knowledge
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for real-time analysis. Building on this foundation, an artificial intelligence system will be developed for automatic detection and classification, enabling reliable and autonomous identification of targets
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micro-electro-mechanical device (MEMS) dedicated to the manipulation and measurement of micro-samples, the coupled gripper-sample modelling using numerical analysis and finite element methods, and the
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A solid background in mathematical modelling, ordinary and partial differential equations, dynamical systems, and numerical analysis Excellent programming skills (e.g., Python, Matlab, Fortran or C/C
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security clearance. Preferred Qualifications: Expertise in numerical analysis. Expertise in theoretical machine learning. Expertise in the development of artificial intelligence techniques. Experience in
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 22 days ago
of the genera Gellidium and Skeletonema; b) statistical analysis of the results; c) preparation of scientific reports and their dissemination. 3. Admission Requirements: National, foreign, and stateless
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
mathematics (partial differential equations and numerical analysis). This internship may lead to a PhD opportunity at BRGM (Orléans), funded by the PEPR Maths-VivES. Missions: With the support of supervisors
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provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize
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working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped
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numerical framework to capture droplets evaporation behaviour. The project requires the Research Fellow to work with both commercial and opensource numerical software to accurately predict and capture complex