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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 3 hours ago
contribute to the design, development, and experimental validation of novel graybox tunneling algorithms for multi-objective combinatorial optimization, with a particular focus on their parallelization and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 3 hours ago
into specialized evolutionary and local-search algorithms, especially by exploiting parallel and high-performance computing to accelerate the search. Consequently, the internship may involve: reviewing
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environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives will include
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evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or experiments with people and AI systems. Some students may develop new theory or algorithms; others may use
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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prostate, bladder and kidney cancer). The program will draw on expertise in probabilistic modeling and causal machine learning, phylogenetic and evolutionary inference, clonal dynamics, and immune-tumour
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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methods for additive manufacturing applications, including ANNs and evolutionary genetic algorithms for process optimization supported by programming knowledge (e.g. Matlab, Python). Hands-on experience
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neighbourhood exploration in combinatorial optimisation: Research in randomised optimisation algorithms, including evolutionary algorithms, tabu search, and many other approaches also collectively known as meta