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Star Formation. CARINA is focussed on developing case agnostic, multi-sector machine learning tools to efficiently handle datasets generated by integral field spectroscopy and time domain surveys
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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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Forefront Astronomical Instrumentation to Probe Intermediate Mass Star Formation. CARINA is focussed on developing case agnostic, multi-sector machine learning tools to efficiently handle datasets generated
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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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3 Mar 2026 Job Information Organisation/Company UNIVERSITE LE HAVRE NORMANDIE Research Field Computer science » Computer systems Computer science » Database management Computer science » Modelling
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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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such as sinks, toilets, faucets, pipes, drains, etc.; assists in skilled repair of steam valves, traps, water lines, pumps, etc. 10% - Operates machine tools, pipe threading and grooving equipment, making
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RESPONSIBILITIES: - 1. Designs and delivers training programs using LMS platforms and authoring tools; creates online, blended, and microlearning content 2. Leads training workstreams for campus initiatives; manage
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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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full-time, in person on campus non - remote 12-month position. Provide research, instructional, and consultation services related to AI tools, machine learning applications, and generative AI in academic