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candidate will hold a PhD in geosciences, applied machine learning, data assimilation, or applied mathematics. The selection will be based on the following scientific and technical criteria: Experience in
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techniques for biological tissue studies. The candidate will work is this research team. The PhD candidate will present his work in international conferences around the world (1 to 3 international trips
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or Phonetics Basic knowledge of machine learning tools; familiarity with a scripting language Ability to communicate and coordinate with different partners: field linguists, computer scientists, engineers
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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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PhD students and 40 fixed-term contract staff. The research work will be carried out within the D2-FTC department, Fluids, Thermal and Combustion, which corresponds to a continuum ranging from fluid
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the University of Poitiers and ISAE-ENSMA (partners). It has around 600 staff: 200 EC, 40 researchers, 100 IT, 180 PhD students and 40 fixed-term contract staff. The research work will be carried out
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, 180 PhD students and 40 fixed-term contract staff. The research work will be carried out within the D2-FTC department, Fluids, Thermal and Combustion, which corresponds to a continuum ranging from fluid
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with the University of Poitiers and ISAE-ENSMA (partners). It has around 600 staff: 200 EC, 40 researchers, 100 IT, 180 PhD students and 40 fixed-term contract staff. The research work will be carried
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changeYears of Research ExperienceNone Additional Information Eligibility criteria • Minimum training: PhD in atmospheric physics and chemistry, with significant experience in in situ data analysis. • Good
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than 10 Additional Information Eligibility criteria -PhD and habilitation in medieval intellectual history -Expert knowledge of scholarly disciplines: excellent command of Latin palaeography, as