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development of post-graduate students. Particular attention will be given to candidates with experience in topics that are relevant to data science, most notably mathematical and algorithmic foundation
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, and shape a new direction in quantum-omics integration. Your responsibilities will include: Lead Methodological Research: Develop innovative quantum-inspired algorithms for omics data analysis and multi
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Bias in Amino-Acid Substitution Patterns Prediction, Modeling, and Refinement of Nucleic Acid Structures Profile of the graduate The graduate understands key areas of informatics, such as algorithms and
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identification in greenhouse environments. Apply machine learning to analyze plant and environmental data. Support the integration of AI algorithms with automated sensing systems for real-world deployment. Assist
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-guided) Evolutionary trajectory analysis and fitness landscape modeling Integration of predictive algorithms with experimental iteration cycles High-throughput screening and selection platform development
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, quantum computing algorithms/architectures, applications of quantum computing; or 2. Quantum photonic integrated circuits. Candidates must hold a Ph.D. in Electrical Engineering, Computer Science, Physics
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large datasets. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses
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. Wallace (1996). MML estimation of the parameters of the spherical Fisher Distribution. In S. Arikawa and A. K. Sharma (eds.), Proc. 7th International Workshop on Algorithmic Learning Theory (ALT'96
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14 Jan 2026 Job Information Organisation/Company INRAE Department MathNum Research Field Computer science » Other Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Positions
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chain management and the potential applications of data-driven methodologies and algorithms.• You can do independent research (demonstrated, e.g., by an excellent MSc thesis).• You have excellent command