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Inria, the French national research institute for the digital sciences | Gif sur Yvette, le de France | France | about 22 hours ago
face several practical and methodological challenges. The main objective of this internship is to develop fast, reliable, and automated methods for extracting information relevant to the characterization
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) develop geophysical methods for imaging and characterizing subsurface structures. Key Responsibilities: Develop novel 3D modelling algorithms for near-surface characterization using curated geo-data
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Employment Career Development Help and FAQ Apply Now Responsibilities* Develop computational methods, tools & algorithms for mass spectrometry-based proteomics data analysis; design and implement new FragPipe
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
(PETs) and privacy assessment functionality based on MAGNET scientific advances By default all developed software will be open-source. Tasks may include developing algorithms, e.g., cryptographic
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to publications in top-tier international conferences and journals, as well as real-world implementations. The role includes designing novel algorithms, building robust software systems, and collaborating with
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machine learning can be used to understand complex behaviours such as reliability, competence, transparency and trust. The position will design and develop innovative reasoning algorithms and knowledge
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with in-house designers, developers and marketeers to ensure the web pages you create meet strategic transformation objectives and are tailored to a wide range of university audiences. Away from web
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support the development, simulation, testing, and implementation of collaborative control algorithms for multi-agent robotic systems, under the guidance of the PI and senior researchers. The work will first
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may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling; statistics and machine learning
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candidate to develop and evaluate a mathematical model and algorithm to better tailor (risk-based) follow-up after cancer treatment. The role is highly impactful for ensuring sustainable cancer care in