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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 13 days ago
principles to the multi-objective setting and to developing new algorithmic strategies for efficiently exploring different regions of the Pareto front. A second assignment will concern the identification and
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. Knowledge of HPC matrix, tensor and graph algorithms. Knowledge on distributed algorithms using MPI and other frameworks such as NCCL. Knowledge of high-performance computing and its applications. Special
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been trained. The distributed nature of federated settings introduces unique challenges for unlearning: the central server never directly accesses raw data, information encoded in aggregated models can
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, finite difference schemes, stability analysis (Von Neumann), algorithms forN-fields (Barnes–Hut) and numerical integration. Theoretical foundations of general physics and astrophysics. The principles
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differences and unintended burdens. Contribute to ethics, privacy-by-design, data governance, algorithm safety, open/reusable project outputs, publications and uptake materials. Contribute to PPU capacity
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programming, algorithms and data structures, and databases, both relational and NoSQL) and in distributed systems and cloud computing (virtualisation and containerisation, cloud platforms, and data management
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., MySQL, SQL Server, Snowflake, Redshift) and non-relational (e.g., MongoDB, NoSQL) databases and cloud environments Knowledge of applied statistical concepts and techniques (e.g., distributions
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, or a related field At least 4 years of paleoseismic trenching experience, including a leading role in trench investigations at multiple sites and experience in different sedimentary and tectonic
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the Nordic region and municipality/industry partners on real use cases for e-health solutions conducting research in software systems, distributed systems, network technologies and advanced data analysis
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, and systematic evaluation of results. Objectives: Development and application of artificial intelligence algorithms for different use cases in the energy sector, e.g., forecasting of renewable energy