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agnostic, multi-sector machine learning tools to efficiently handle datasets generated by integral field spectroscopy and time domain surveys. The testbed for the machine learning tools is the question
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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, mechanical design, technical drawings, manual skills, mathematics, and computer programming to produce high-quality components in limited production runs, advanced prototypes, qualified technicians and
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imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab currently conducts research in the areas
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Computer Applications: Version control (e.g., Git); data management tools; basic image processing/segmentation tools as used in the lab, R studio; 3D visualization/modeling software as applicable Preferred
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growth methodology based on real-time growth monitoring enabled by advanced in situ characterization tools (RHEED, ellipsometry, curvature measurements, flux monitoring), coupled with machine-learning (ML
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skills are required, particularly in Python and machine learning libraries, along with experience in data management. Experience in model deployment or the development of operational tools will be
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24 Feb 2026 Job Information Organisation/Company UNIVERSITE D'AVIGNON Research Field Computer science » Informatics Computer science » Programming Computer science » Modelling tools Computer science