531 evolution "https:" "https:" "https:" "ESPCI Paris PSL" "ESPCI Paris PSL" PhD research jobs
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preparation platform, SSMIM - Resources provided (equipment, IT, etc.): Computer workstation, binocular magnifying glass, analytical equipment (IRMS mass spectrometer) Where to apply Website https
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a Research Infrastructure? No Offer Description This position is part of HEPARD MSCA European funded doctoral network (https://cordis.europa.eu/project/id/101226455 ). The project is training early
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of the most important employers in our region. Our broad range of subjects, the dynamic development of our main research areas and our central location in Cologne make us attractive for students and researchers
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. Mission You will contribute to the development of monitoring tools for understanding the performance degradations of lithium-ion and sodium-ion batteries. Main activities · Develop an equivalent
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written by humans and large language models. Months 5-6. Development of green algorithms for syntactic analysis of natural language using HPSG grammars Where to apply Website https://sede.udc.gal/services
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, and how they stand to contribute to its future development. Terms of employment The position is full-time (100%) and temporary for 7 months, with a desired start date of April 1, 2026, or as agreed
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team selection announcements” section: https://daip.uvt.ro/anunturi-selectie-echipe-proiecte/ Email, in compliance with GDPR Period for submitting appeals regarding file evaluation Date: 20.02.2026
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of FCiências.ID - Association for Research and Development of Sciences at https://fciencias-id.pt/ . XI. Compliance with public policies FCiências.ID actively promotes a policy of non-discrimination and equal
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substances. – Ultrasound-assisted intensification of physicochemical processes for by-product extraction, synthesis and valorisation. – Development of electrosynthesis processes. – Assistance with
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, with a view to developing and carrying out the above-mentioned project and related scientific activities, with a particular focus on the development of analytical models (data science – machine learning