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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 months ago
://www.cmap.polytechnique.fr/~aymeric.dieuleveut/ ), professor at Ecole Polytechnique (Palaiseau). The successful candidate will implement and compare different distributed numerical optimization paradigms, that include
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the specific characteristics of different sectors (services, manufacturing, finance, health, etc.) and types of companies in order to refine the recommendations. Design and development of an AI recommendation
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construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
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optimization, using models to test the effectiveness of different courses of action. In addition, the Data Scientist 1 uses a variety of data mining and analysis methods, using a range of data tools, building
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@nhh.no AI and the Professional Services – Rethinking Structure, Strategy, and Work in the Age of Algorithmic Expertise Within DIGs AI agenda we have a particular interest in proposals linked to AI and
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to test the effectiveness of different courses of action. In addition, uses a variety of data mining and analysis methods, using a range of data tools, building and implementing models, using and creating
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to 3 different courses, with each section typically consisting of 22-28 students. Lecturers will be expected to provide high-quality teaching, student advisement, and learning support services, as
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architectures, frameworks, and prototypes for high-fidelity visual simulations and AI-enabled environments and applications. Apply computational models, data-driven algorithms, and physics-based simulation
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techniques to several hundred local, national and international users annually. Specific tasks Develop and apply different image analysis approaches to, for example, segment, track, and characterize cellular
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across time and contexts. Job Description: You will develop and apply mathematical models and machine learning algorithms to analyze the structure and evolution of knowledge systems across different