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. Our academics undertake research across a wide range of computing fields: software engineering, data science, algorithms and theoretical computer science, cyber security, communication and information
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of the appointment and a strong commitment to teaching, academic research, and service. PREFERRED QUALIFICATIONS: Research that focuses on artificial intelligence, and teaching interests in algorithmic programming
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will be analyzed to detect and segment structures such as pores, fractures, and vugs, with novel algorithms developed to evaluate their geometric properties, including size, shape, and orientation
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 13 days ago
to compare base approaches (no active learning) with different state-of-the-art active learning algorithms including our solutions; Participate to the redaction of a publication exposing the methodologies and
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well as in the design of machine learning algorithms (ANN, SVM, Decision Tree, and Random Forest) applied to healthcare, will be particularly valued. Proficiency in programming tools (Matlab) and statistical
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learn to develop algorithms to solve engineering problems, and the implementation of those algorithms in the C language. This course will include using C program for embedded devices for interacting with
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experienced programmer, preferably using the Python programming language. You are interested in automatic algorithm configuration, and have perhaps even worked on related problem areas of artificial
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 5 days ago
in seismology. Advances in Geophysics. Warburton, T., & Hesthaven, J. S. (2008). Nodal discontinuous Galerkin methods: algorithms, analysis, and applications. Springer. Abdi, R., et al. (2021). GPU
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, or equivalent, with excellent knowledge of digital communications and signal processing. High grades in the core courses are required. Skills in mathematical analysis, modeling, and network algorithms
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on Bayesian methods for real-time, risk-aware trajectory planning in autonomous driving. Develop, implement, and evaluate algorithms for scenario pruning, control action selection, and reachability analysis